Author Interviews, COVID -19 Coronavirus, Technology / 03.02.2022

MedicalResearch.com Interview with: Michael J. Mahan Ph.D Professor Dept of Molecular, Cellular, and Developmental Biology University of California, Santa Barbara, CA 93106-9625 MedicalResearch.com:  What is the background for this study?  Response: A critical need exists in resource-poor settings for low-cost, low-tech, yet highly reliable and scalable testing for SARS-CoV-2 virus that is robust against circulating variants.  (more…)
Author Interviews, Diabetes, NEJM, Pediatrics, Technology / 20.01.2022

MedicalResearch.com Interview with: Dr Julia Ware (née Fuchs) Clinical Research Associate Wellcome-MRC Institute of Metabolic Science-Metabolic Research Laboratories and Medical Research Council Metabolic Diseases Unit, University of Cambridge Addenbrooke’s Hospital, Cambridge MedicalResearch.com: What is the background for this study? Response: Management of type 1 diabetes is challenging in very young children, due to their high variability of insulin requirements and unpredictable eating and activity patterns. As a result, many young children do not meet the recommended glycemic targets, or only maintain recommended glycemic control with extensive caregiver input. This in turn leads to high management burden and reduced quality of life for the whole family. While the increasing use of continuous glucose-monitoring devices and insulin-pump therapy has led to reductions in the incidence of severe hypoglycaemia and diabetic ketoacidosis, and has been accompanied by modest improvements in glycemic control, the burden of management has remained high. Hybrid closed-loop systems (also called an artificial pancreas), in which an algorithm automatically adjusts insulin delivery on the basis of real-time sensor glucose levels, may address ongoing challenges in this age group. However, to date hybrid closed-loop studies involving very young children have been small and of short duration and the efficacy and safety of longer term use of a closed-loop system, as compared with standard therapy, was unclear.   To address this knowledge gap, we compared 16-week use of the Cambridge closed-loop algorithm with sensor-augmented pump therapy in children aged 1 to 7 years with type 1 diabetes in a multi-national randomised crossover study. (more…)
Author Interviews, COVID -19 Coronavirus, Environmental Risks, Technology / 13.01.2022

MedicalResearch.com Interview with: Krystal Pollitt, PhD, P.Eng. Assistant Professor of Epidemiology (Environmental Health Sciences) Assistant Professor in Chemical and Environmental Engineering Affiliated Faculty, Yale Institute for Global Health Yale School of Public Health  MedicalResearch.com: What is the background for this study? Response: People infected with COVID-19 can release SARS-CoV-2 virus in aerosol and droplets when they exhale. This can be from coughing or sneezing but also when they speaker or just breathe. While the larger droplets can settle to the ground quickly (seconds to minutes), smaller aerosol can remain in the air in longer periods (minutes to hours). SARS-CoV-2 can be transmitted by inhaling aerosol or droplets containing infectious virus. The Fresh Air Clip enables detection of droplet and aerosol containing virus. (more…)
Author Interviews, Cancer Research, Dermatology, Lancet, Melanoma, Technology / 11.11.2021

MedicalResearch.com Interview with: Dr David Wen BM BCh NIHR Academic Clinical Fellow in Dermatology University of Oxford MedicalResearch.com: What is the background for this study? Response: Publicly available skin image datasets are commonly used to develop machine learning (ML) algorithms for skin cancer diagnosis. These datasets are often utilised as they circumvent many of the barriers associated with large scale skin lesion image acquisition. Furthermore, publicly available datasets can be used as a benchmark for direct comparison of algorithm performance. Dataset and image metadata provide information about the disease and population upon which the algorithm was trained or validated on. This is important to know because machine learning algorithms heavily depend on the data used to train them; algorithms used for skin lesion classification frequently underperform when tested on independent datasets to which they were trained on. Detailing dataset composition is essential for extrapolating assumptions of generalisability of algorithm performance to other populations. At the time this review was conducted, the total number of publicly available datasets globally and their respective content had not previously been characterised. Therefore, we aimed to identify publicly available skin image datasets used to develop ML algorithms for skin cancer diagnosis, to categorise their data access requirements, and to systematically evaluate their characteristics including associated metadata.   (more…)
Surgical Research, Technology / 14.10.2021

Medicine is ever evolving, but it might surprise you to hear how far we’ve come even since the turn of the century. Advancements in technology have allowed for some amazing upgrades in medicine that could only be imagined in sci-fi movies before, and new developments in drugs have vastly increased the average life expectancy, from 77.74 in 2000 to a high of 81.3 in 2014. Read on to find out more about our top picks for the most influential advancements in medicine. Information technology An often overlooked but greatly impactful aspect of medicine, information technology has allowed for the smooth and faster running of hospitals. Like every other aspect of life, technology has infiltrated hospitals and GPs at a basic and far-reaching level, allowing for safer and more secure running of hospitals as well as aiding diagnosis earlier and minimally invasive procedures to create less pain and quicker healing. Rather than sifting through filing rooms for that one patient, staff can access a patient’s file on cloud storage, where it is free from other prying eyes. Remote consultations allow for neither patient or doctor to travel to do a consultation, and an encyclopedia of symptoms and treatments are available at doctors’ fingertips. Technology has taken the routine and tedious aspects of patient care out of the equation, or at least streamlined it, so that doctors can focus on their patients. Filing, record maintenance and other routine tasks, are all done quickly with the help of apps and cloud storage. Streamlining processes like no exam life insurance allows for doctors to focus on the care of their patients while you offer other evidence like family history and pre-existing conditions. Doctors are working faster, patients get seen quicker, their prescriptions are issued sooner. (more…)
Technology / 08.10.2021

Three way hospitals have changedThe evolution of hospitals is truly something to marvel at. Modern-day hospitals perform ground-breaking procedures, unearth new and improved ways of caring for patients, and constantly evolve thanks to regular inspections. Hospitals have had to advance because of the ever-growing demands of the public - and the Guardian reported there are still 5.6 million people waiting for treatment. With so many people waiting, how are hospitals coping with the increased demand? They're evolving - and here's how. (more…)
Author Interviews, Biomarkers, Heart Disease, JAMA, Technology / 05.10.2021

MedicalResearch.com Interview with: Pinar Zorlutuna, PhD Sheehan Family Collegiate Professor of Engineering Aerospace and Mechanical Engineering Chemical and Biomolecular Engineering (Concurrent) Bioengineering Graduate Program University of Notre Dame  MedicalResearch.com: What is the background for this study? Response: Acute myocardial infarction (AMI) is the primary cause of death among cardiovascular diseases. The current clinical standard of diagnosis combines echocardiogram (ECG) and several circulating protein biomarkers from plasma. In their current state, both are incapable of distinguishing between patients with and without complete coronary occlusion, unless additional invasive testing is implemented, and both have significant false positive rates. MicroRNAs (miRNAs) have shown great potential as rapid and discriminating biomarkers for acute myocardial infarction (AMI) diagnosis. (more…)
Author Interviews, Education, Medical Imaging, Technology / 13.08.2021

MedicalResearch.com Interview with: Ryan C. Gibbons, MD, FAAEM, FACEP Associate Professor of Emergency Medicine Director of the Emergency Ultrasound Fellowship Associate Director of the Division of Emergency Ultrasound Department of Emergency Medicine Director of Ultrasound in Medical Education Lewis Katz School of Medicine at Temple University MedicalResearch.com: What is the background for this study?  How was the gift funded? Butterfly needle visualizatioResponse: Point-of-care ultrasound is one of the most significant advances in bedside patient care, and its use is expanding across nearly all fields of medicine. In order to best prepare medical students for residency and beyond, it is imperative to begin POCUS training as early as possible. At the Lewis Katz School of Medicine at Temple University, we introduced POCUS education over a decade ago and have expanded it since then. By providing each student with a Butterfly iQ device, we can augment our curriculum significantly. In addition to our robust pre-clinical sessions, now we will expand into the clinical years highlighting the utility of POCUS with actual patients. This gift was made possible by the incredible generosity of Dr. Ronald Salvitti, MD ’63.  (more…)
Author Interviews, COVID -19 Coronavirus, Sleep Disorders, Technology / 03.06.2021

MedicalResearch.com Interview with: Michele Ferrara, PhD. Professor of Psychobiology and Physiological Psychology Chair of the Psychology Didactic Council Department of Biotechnological and Applied Clinical Sciences University of L'Aquila MedicalResearch.com: What is the background for this study? Response: During the current period of social distancing, the pervasive increase in the use of electronic devices (smartphones, computers, tablets and televisions) is an indisputable fact. Especially during the long lockdown period of Spring 2020, technologies played a pivotal role in coping with the unprecedented and stressful isolation phase. However, exposure to backlit screens in the hours before falling asleep can have serious repercussions on sleep health: on the one hand, by mimicking the effects of exposure to sunlight, and thus interfering with the circadian rhythm of the hormone melatonin, and on the other hand, counteracting the evening sleepiness due to the emotionally and psycho-physiologically activating contents. In light of this assumption, we decided to test longitudinally during the third and the seventh week of lockdown a large Italian sample (2123 subjects) through a web-based survey. We assessed sleep disturbances/habits and the occurring changes of electronic device usage in the 2 hours before the sleep onset. (more…)
Author Interviews, Technology / 28.05.2021

MedicalResearch.com Interview with: Dani Clode Designer & Senior Research Technician Plasticity Laboratory Institute of Cognitive Neuroscience University College London   MedicalResearch.com: What was the inspiration behind creating the Third Thumb? Response: From a design perspective, augmentation is about designing a new relationship with technology, creating something that is no longer just a tool for the hand, but instead an extension of the hand. I created the Third Thumb during my Design Product Masters project at the Royal College of Art (London). The Third Thumb is a flexible 3D-printed thumb extension for your hand, controlled by your toes. It is operated wirelessly with pressure sensors and affords proportional control over two degrees of freedom. The project began as a way to better understand what it was like to control something extra attached to my body. As an upper-limb prosthetics designer, I wanted to understand the unique relationship between a person and a prosthetic, it’s a relationship unlike any other product, and I wanted to explore that. The Plasticity Lab then got in contact with me after seeing the Third Thumb online, as they were already exploring augmentation in the brain. We started collaborating on this research shortly after, and I now work as an in-house designer for the Plasticity Lab, collaborating on neuroscience research. (more…)
Author Interviews, Cancer Research, COVID -19 Coronavirus, Technology / 05.05.2021

MedicalResearch.com Interview with: Saket Navlakha PhD Simons Center for Quantitative Biology Cold Spring Harbor Laboratory Cold Spring Harbor, NY  MedicalResearch.com: What is the background for this algorithm? How does it aide in patient care? Response: The machine learning algorithm helps to predict if and when a patient will develop severe COVID symptoms, based on information on how the patient presents on the day of infection. This could lead to improved patient outcomes, by getting a “heads up” on what may happen in the near future. (more…)
Author Interviews, COVID -19 Coronavirus, Technology / 04.05.2021

MedicalResearch.com Interview with: Ramani “Ram” Peruvemba, MD, FASA Co-founder and CMO of HSR.health MedicalResearch.com: Would you tell us about your background?  Response: I am a dual-board certified Anesthesiologist and Pain Management physician, currently serving as the co-founder and CMO of HSR.health. I am a Health IT expert and well-versed in the clinical, regulatory, and policy issues surrounding healthcare. I leverage my expertise, professional networks, and insights to HSR.health to bring health risk information to industry. As a clinician, I formerly served as Vice Chairman of the board for the largest anesthesia provider in Maryland and led them through a private equity transaction that helped elevate our group onto a national platform. I have also served on the advisory boards of QSSI corp, a Health IT firm involved in the construction of Healthcare.gov and ultimately sold to Optum, as well as Welldoc, a digital health leader that developed the only FDA approved digital health solution for the management of diabetes. Through my role on the Maryland Health Services Cost Review Commissions Advisory Council, I play a key role in the development and implementation of the unique value based hospital payment system, the Total Cost of Care Model, in conjunction with CMS and CMMI. I currently serve on the board of the Maryland State Medical Society, MedChi, as chairman of the medical policy council, and am the President of the Maryland Society of Anesthesiologists. Most recently, I’m proud to share that I was named a 2021 Top 100 Healthcare Innovator for my leadership in HSR.health's efforts supporting COVID-19 pandemic response globally. (more…)
Author Interviews, Dermatology, JAMA, Technology / 28.04.2021

MedicalResearch.com Interview with: Yun Liu, PhD Google Health Palo Alto, California MedicalResearch.com: What is the background for this study? Would you describe the system?  Does it use dermatoscopic images? Response: Dermatologic conditions are extremely common and a leading cause of morbidity worldwide. Due to limited access to dermatologists, patients often first seek help from non-specialists. However, non-specialists have been reported to have lower diagnostic accuracies compared to dermatologists, which may impact the quality of care. In this study, we built upon prior work published in Nature Medicine, where we developed a computer algorithm (a deep learning system, DLS) to interpret de-identified clinical images of skin conditions and associated medical history (such as whether the patient reported a history of psoriasis). These clinical images are taken using consumer-grade hardware such as point-and-shoot cameras and tablets, which we felt was a more accessible and widely-available device compared to dermatoscopes. Given such images of the skin condition as input, the DLS outputs a differential diagnosis, which is a rank-ordered list of potential matching skin conditions. In this paper, we worked with user experience researchers to create an artificial intelligence (AI) tool based on this DLS. The tool was designed to provide clinicians with additional information per skin condition prediction, such as textual descriptions, similar-appearing conditions, and the typical clinical workup for the condition. We then conducted a randomized study where 40 clinicians (20 primary care physicians, 20 nurse practitioners) reviewed over 1,000 cases -- with half the cases with the AI-based assistive tool, and half the cases without. For each case, the reference diagnosis was based on a panel of 3 dermatologists.  (more…)
Author Interviews, Brigham & Women's - Harvard, Cost of Health Care, COVID -19 Coronavirus, Electronic Records, JAMA, Technology / 04.03.2021

MedicalResearch.com Interview with: Carlo Giovanni Traverso, MB, BChir, PhD Associate Physician, Brigham and Women's Hospital Assistant Professor, Peter R. Chai, MD, MMS Emergency Medicine Physician and Medical Toxicologist Harvard Medical School Brigham and Women's Hospital Department of Medicine   Dr-Spot-HealthCare-Assistant.jpgMedicalResearch.com: What is the background for this study? What are some of the functions that Dr. Spot can facilitate? Response: During the COVID-19 pandemic, we wanted to consider innovative methods to provide additional social distance for physicians evaluating low acuity individuals who may have COVID-19 disease in the emergency department. While other health systems had instituted processes like evaluating patients from outside of emergency department rooms or calling patients to obtain a history, we considered the use of a mobile robotic system in collaboration with Boston Dynamics to provide telemedicine triage on an agile platform that could be navigated around a busy emergency department. Dr. Spot was built with a camera system to help an operator navigate it through an emergency department into a patient room where an on-board tablet would permit face-to-face triage and assessment of individuals. (more…)
Author Interviews, Leukemia, Stem Cells, Technology / 11.02.2021

MedicalResearch.com Interview with: Eirini Papapetrou, MD, PhD Associate Professor Department of Oncological Sciences Icahn School of Medicine at Mount Sinai New York, NY 10029 MedicalResearch.com: What is the background for this study? Would you tell us a little about acute myeloid leukemia? Response: Acute myeloid leukemia is a form of cancer of the blood. It is typically very aggressive and lethal without treatment. The main treatment is high-dose chemotherapy and it has not changed very much in decades. Some more recent "targeted" therapies that are less toxic help somewhat but still do not result in cures. We believe a reason for this might be that both chemotherapy and newer "targeted" therapies target the cells at the later stages of the disease and spare the earlier ones, which can then give rise to disease resistance and relapse.  (more…)
Author Interviews, COVID -19 Coronavirus, JAMA, Race/Ethnic Diversity, Social Issues, Technology, University of Pennsylvania / 30.12.2020

MedicalResearch.com Interview with: Srinath Adusumalli, MD, MSc, FACC Assistant Professor of Clinical Medicine Division of Cardiovascular Medicine| Penn Medicine Lauren A. Eberly, MD, MPH Division of Cardiovascular Medicine, Department of Medicine Hospital of the University of Pennsylvania, Philadelphia MedicalResearch.com: What is the background for this study?   Response: The coronavirus disease 2019 (COVID-19) pandemic has uprooted conventional health care delivery for routine ambulatory care, requiring health systems to rapidly adopt telemedicine capabilities. At Penn Medicine, we wanted to ensure that as we developed a new system of telemedical care, we were reaching all of the patients we serve and access to care was maintained. As such, we undertook this study to examine utilization of care as we continued to iterate on and develop our telemedical system of care. (more…)
Author Interviews, Cancer Research, JAMA, Prostate Cancer, Technology / 13.11.2020

MedicalResearch.com Interview with: Dave Steiner MD PhD Clinical Research Scientist Google Health, Palo Alto, California MedicalResearch.com: What is the background for this study? Response: For prostate cancer patients, the grading of cancer in prostate biopsies by pathologists is central to risk stratification and treatment decisions. However, the grading process can be subjective, often resulting in variability among pathologists. This variability can complicate diagnostic and treatment decisions. As an initial step towards addressing this problem, we and others in the field have recently developed artificial intelligence (AI) algorithms that perform on-par with expert pathologists for prostate cancer grading. Such algorithms have the potential to improve the quality and efficiency of prostate biopsy grading, but the impact of these algorithms when used by pathologists has not been well studied. In the current study, we developed and evaluated an AI-based assistant tool for use by pathologists while reviewing prostate biopsies. (more…)
Author Interviews, Fertility, Genetic Research, OBGYNE, Technology / 29.10.2020

MedicalResearch.com Interview with: PGT-A & ARTIFICIAL INTELLIGENCE IMPROVES PREGNANCY OUTCOMES FOR PATIENTS UNDERGOING IVF MedicalResearch.com Interview with: Michael Large, PhD Senior Director, Research at CooperGenomics CooperSurgical MedicalResearch.com: What is the background for this study? What are the main findings? Dr. Large: Independent study results, presented at the recent the American Society of Reproductive Medicine (ASRM) Virtual Scientific Congress, demonstrated a 13 percent relative increase in ongoing pregnancy and live birth rates associated with the use of CooperSurgical’s PGTaiSM 2.0 technology to screen embryos for in vitro fertilization (IVF). The single-center study was conducted by NYU Langone Fertility Center (NYULFC), part of The Prelude Network. Preimplantation Genetic Testing for aneuploidy (PGT-A) is performed on embryos produced through IVF; it provides genetic information to help identify embryos that are more likely to result in a successful pregnancy. PGTai 2.0 technology is an advancement in PGT-A testing platform that utilizes artificial intelligence to increase objectivity of this screening process. The study compared results from three next generation sequencing (NGS) genetic tests: Standard NGS, NGS with first generation artificial intelligence (PGTai 1.0 Technology Platform) and NGS with second generation artificial intelligence (PGTai 2.0 Technology Platform). The ongoing pregnancy and live birth rates significantly increased by a relative 13 percent in the PGTai 2.0 group as compared to subjective and prior methodologies. Study results also suggest that the increase in ongoing pregnancy and live births may be linked to improvements in several preceding IVF outcomes (implantation rates, clinical pregnancy rates and pregnancy loss.) MedicalResearch.com: What should readers take away from your report? Dr. Large: This research moves us an important step closer to our goal of increased live births, improved pregnancy outcomes and further reduction of multiples in pregnancy through greater confidence in single embryo transfer. An estimated 48.5 million couples – approximately 15% of couples -- are affected by infertility worldwide. 80,000 babies were born with IVF in 2017 in the United States and more than one million babies were born in the period 1987 to 2015 in the United States as a result of IVF. MedicalResearch.com: What recommendations do you have for future research this study? Dr. Large: The goal of PGT-A is to decrease risk and maximize the chances of IFV success by screening for embryos with the highest potential. This was precisely what NYULFC have observed so far with PGTai 2.0 compared to older technologies. To fully appreciate the impact that these improvements are having for patients, we’re excited to hear from additional IVF centers across the world as they utilize this technology. MedicalResearch.com: Is there anything else you would like to add? Any disclosures? Dr. Large: The study demonstrates CooperSurgical’s commitment to developing the most advanced technology in the field of genetic testing to advance reproductive medicine and help families. By applying artificial intelligence in the PGTaism2.0 technology, we leverage mathematical algorithms derived from real-world data to achieve objective embryo assessment. I am the Senior Director of Genomics Research and Development at CooperSurgical. Michael Large, PhD, is the Senior Director, Genomics Research and Development at CooperSurgical. His team recently led and continues to develop state-of-the-art analytical methods for interrogating Reproductive Genetics. Dr. Large earned his PhD in Cell and Molecular Biology from the Baylor College of Medicine and his Bachelor of Science in Cell and Molecular Biology from the University of Wisconsin – La Crosse. Michael Large, PhD Senior Director, Research at CooperGenomics CooperSurgical   MedicalResearch.com: What is the background for this study? What are the main findings? Dr. Large: Independent study results, presented at the recent the American Society of Reproductive Medicine (ASRM) Virtual Scientific Congress, demonstrated a 13 percent relative increase in ongoing pregnancy and live birth rates associated with the use of CooperSurgical’s PGTaiSM 2.0 technology to screen embryos for in vitro fertilization (IVF).[1] The single-center study was conducted by NYU Langone Fertility Center (NYULFC), part of The Prelude Network. Preimplantation Genetic Testing for aneuploidy (PGT-A) is performed on embryos produced through IVF; it provides genetic information to help identify embryos that are more likely to result in a successful pregnancy. PGTai 2.0 technology is an advancement in PGT-A testing platform that utilizes artificial intelligence to increase objectivity of this screening process. The study compared results from three next generation sequencing (NGS) genetic tests: Standard NGS, NGS with first generation artificial intelligence (PGTai 1.0 Technology Platform) and NGS with second generation artificial intelligence (PGTai 2.0 Technology Platform). The ongoing pregnancy and live birth rates significantly increased by a relative 13 percent in the PGTai 2.0 group as compared to subjective and prior methodologies. Study results also suggest that the increase in ongoing pregnancy and live births may be linked to improvements in several preceding IVF outcomes (implantation rates, clinical pregnancy rates and pregnancy loss.) (more…)
Author Interviews, COVID -19 Coronavirus, Health Care Systems, JAMA, Technology / 27.10.2020

MedicalResearch.com Interview with: Shira H. Fischer, MD, PhD RAND Corporation Boston, Massachusetts MedicalResearch.com: What is the background for this study? What are the main findings? Response: Before the COVID-19 outbreak, telehealth was talked about a lot, but it wasn’t widely available and wasn’t used that often. We wanted to know who was using telehealth, what the barriers to use were, and whether people would be willing to do so if it were available to them. We conducted a survey of over 2,500 Americans across the country and asked them about these topics.  (more…)
Author Interviews, Nutrition, NYU, Pediatrics, Pediatrics, Technology / 26.10.2020

MedicalResearch.com Interview with: Marie Bragg, PhD Assistant Professor, Department of Population Health on Health Choice NYU College of Global Public Health MedicalResearch.com: What is the background for this study? Response: We know from previous research that children who see food advertisements eat significantly more calories than children who see non-food advertisements. Those studies led the World Health Organization and National Academy of Medicine to issue reports declaring that exposure to food advertising is a major driver of childhood obesity. What we don’t know is how frequently unhealthy food and beverage brands are appearing in YouTube videos posted by Kid Influencers. Kid influences are children whose parents film videos of the child playing with toys, unwrapping presents, eating food, or engaging in other family-friendly activities. The parents then post the videos to YouTube for other children and parents to view for entertainment.  (more…)
Author Interviews, Emergency Care, Social Issues, Technology / 23.10.2020

MedicalResearch.com Interview with: Susan Lu PhD Gerald Lyles Rising Star Associate Professor of Management Krannert School of Management Purdue University  MedicalResearch.com: What is the background for this study? Response: We started this project in 2016. Overcrowding in emergency rooms (ERs) is a common yet nagging problem. It not only is costly for hospitals but also compromises care quality and patient experience. Hence, finding effective ways to improve ER care delivery is of great importance. Meanwhile, the advancement of healthcare technologies including electronic medical records, online doctor ratings and 4G mobile network motivates us to think about the impact of telemedicine on ER operations in the near future.  (more…)
Author Interviews, Brigham & Women's - Harvard, Fertility, Technology / 16.09.2020

MedicalResearch.com Interview with: Hadi Shafiee, PhD Assistant Professor, Harvard Medical School Brigham and Women's Hospital Department of Medicine MedicalResearch.com: What is the background for this study? What are some of the characteristics that AI uses to identify blastocysts witha better chance of successful implantation?  Response: In-vitro fertilization (IVF), while a solution to many infertile couples is still extremely inefficient with a success rate of nearly 30% and is both mentally, physically, and economically taxing to patients. The IVF process involves the insemination of eggs and the culture of embryos externally in a fertility lab before transferring the developed embryo to the mother. A major challenge in the field is deciding on the embryos that need to be transferred during IVF, such that chances of a healthy birth are maximal and any complications for both mother and child are minimal. Currently, the tools available to embryologists when making such are extremely limited and expensive, and thus, most embryologists are required to make these life-altering decisions using only their observational skills and expertise. In such scenarios, their decision-making process is extremely subjective and tends to be variable. (more…)
Author Interviews, Brigham & Women's - Harvard, Gastrointestinal Disease, Technology / 27.08.2020

MedicalResearch.com Interview with: Giovanni Traverso, MB, BChir, PhD Gastroenterologist and biomedical engineer Division of Gastroenterology at BWH Instructor of medicine at Harvard Medical School MedicalResearch.com: What is the background for this study? Response: We began working on this project with the goal to develop liquid drug formulations that could offer an easier-to-swallow alternative to capsules, especially for children. We started to think about whether we could develop liquid formulations that could form a synthetic epithelial lining that could then be used for drug delivery, making it easier for the patient to receive the medication by providing drugs in extended release formats. We discovered that an enzyme called catalase could help assemble molecules of dopamine into the polymer (poly-dopamine). These polymers have muco-adhesion properties, which means that after polymerization, the polymer can attach to the tissue very strongly. Also, catalase is found throughout the digestive tract, with especially high levels in the upper region of the small intestine. This is the first example, to the best of our knowledge, of small intestinal targeting system enabled through in-situ tissue-enzyme-catalyzed polymerization. The coating lasts up to 24 hours, after which it is shed and excreted based on experiments we conducted in pigs. (more…)
Author Interviews, Cancer Research, Nature, Technology / 06.08.2020

MedicalResearch.com Interview with: Moritz Gerstung PhD Group Leader: Computational cancer biology EMBL-European Bioinformatics Institute MedicalResearch.com: What is the background for this study? Response: We have learned a lot in the last ten years about the molecular nature about various cancers thanks to the resources created by TCGA, ICGC and many other initiatives. Similarly, digital pathology has progressed hugely due to new AI algorithms. Yet it hasn’t been explored deeply how a cancer’s genetic makeup and its histopathological appearance are related. Here computers can be very helpful as they can process large amounts of digital microscopy slide images and test whether there are any recurrent histopathological patterns in relation to hundreds or thousands of genetic and other molecular abnormalities.  (more…)
Author Interviews, Genetic Research, Nature, Technology / 15.07.2020

MedicalResearch.com Interview with: Dr.Altuna Akalin PhD Head of Bioinformatics and Omics Data Science Platform Berlin Institute for Medical Systems Biology (BIMSB) Max Delbrück Center for Molecular Medicine (MDC) Berlin, Germany  MedicalResearch.com: What is the background for this study? Where does the word Janggu come from?  Response: Deep learning applications on genomic datasets used to be a cumbersome process where researchers spend a lot of time on preparing and formatting data before they even can run deep learning models. In addition, the evaluation of deep learning models and the choice of deep learning framework were also not straightforward. To streamline these processes, we developed Janggu. With this framework, we are aiming to relieve some of that technical burden and make deep learning accessible to as many people as possible. Janggu is named after a traditional Korean drum shaped like an hourglass turned on its side. The two large sections of the hourglass represent the areas Janggu is focused: pre-processing of genomics data, results visualization and model evaluation. The narrow connector in the middle represents a placeholder for any type of deep learning model researchers wish to use.  (more…)
Author Interviews, Dermatology, Melanoma, Nature, Technology / 23.06.2020

MedicalResearch.com Interview with: Professor Harald Kittler, MD ViDIR Group, Department of Dermatology Medical University of Vienna Vienna, Austria MedicalResearch.com: What is the background for this study?  What types of skin cancers were assessed? (melanoma, SCC, Merkel etc). Response: Some researchers believe that AI will make human intelligence dispensable. It is, however, still a matter of debate how exactly AI will influence diagnostic medicine in the future. The current narrative is focused on a competition between human and artificial intelligence. We sought to shift the direction of this narrative more towards human/AI collaboration. To this end we studied the use-case of skin cancer diagnosis including the most common types of skin cancer such as melanoma, basal cell- and squamous cell carcinoma. The initial idea was to explore the effects of varied representations of AI support across different levels of clinical expertise and to address the question of how humans and machines work together as a team. (more…)
Author Interviews, Ophthalmology, Technology / 18.06.2020

MedicalResearch.com Interview with: Prof. FanProf. FAN Zhiyong PhD University of California, Irvine HKUST School of Engineering MedicalResearch.com: What is the background for this study? What are the main findings? Response: According to the report of The World Health Organization, there are over 252 million people suffering from visual impairment globally and 15 million of them are difficult to cure by conventional medical methods. However, today, even the best bionic eyes have only 200 clinical trials, less than 1 ppm of all the patients, mainly due to their poor performance and high cost. The huge gap in supply and demand triggers the study of bionic eyes with performance comparable to human eyes. One important reason for their poor performance is the mismatch in shape between the flat bionic eyes and concave sclera. To protect the soft tissue in eyes from being damaged by the bionic surface, the implanted bionic eyes have to be small. This has limited the sensing area and further the electrodes number, and finally yielded poor image sensing characters with low resolution and narrow field-of-view. In this work, we are trying to achieve high performance image sensing by biomimeticing human eyes. The high-density NWs are well aligned and embedded in a hemispherical template to serve as retina. The conformal attachment of bionic eyes with sclera enables the large sensing area and wide visual angle. In addition, each individual high-density nanowires can potentially work as an individual pixel. By addressing these challenges, our device design has huge potential to improve the image sensing performance of bionic eyes. (more…)
Author Interviews, Dermatology, Melanoma, Technology / 17.06.2020

MedicalResearch.com Interview with: Chi Hwan Lee PhD Assistant Professor of Biomedical Engineering and Mechanical Engineering, and by Courtesy, of Materials Engineering, and Speech, Language, & Hearing Sciences Purdue University  MedicalResearch.com: What is the background for this study? Response: Conventional melanoma therapies, including chemotherapy and radiotherapy, suffer from the toxicity and side effects of repeated treatments due to the aggressive and recurrent nature of melanoma cells. Less-invasive topical chemotherapies by utilizing miniaturized polymeric microneedles are emerged as an alternative, but the sustained, long-lasting release of drug cargos remains challenged due to the rapidly dissolving behavior of polymers (typically, within 15 min-2 hrs). In addition, the size of the microneedles is still large for small, curvilinear and sensitive areas of tissues such as cornea (for ocular melanoma). (more…)
Author Interviews, JAMA, Pediatrics, Social Issues, Technology / 18.05.2020

MedicalResearch.com Interview with: Pooja S. Tandon, MD, MPH Center for Child Health, Behavior and Development Seattle Children's Research Institute MedicalResearch.com: What is the background for this study? Response: Cell phone use is common among middle and high school students, yet we do not have an understanding of school cell phone policies and practices in the U.S. We conducted a survey of public schools serving grades 6-12. The survey sent to over 1,100 school principals, representing a national sample of schools across the U.S., asked questions about the presence of a cell phone policy for students and staff and restrictions on phone use. Additional questions addressed consequences of policy violation, the use of cell phones for curricular activities and principals’ attitudes toward cell phone policies. (more…)