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Dream Warmer: An Innovative, Safe and Effective Complement to Skin-to-Skin Care for Neonatal Hypothermia | Dr Anne Hansen
Dr Anne Hansen is the Medical Director of the Neonatal Intensive Care Unit and Associate Chief of the Division of Newborn Medicine at Boston Children’s Hospital. With her colleagues, Dr Hansen has developed and tested a low cost, non-electrical warming mattress called the ‘Dream Warmer’ to help prevent and treat neonatal hypothermia in countries with limited medical resources. Her team has conducted extensive testing in Rwanda with results demonstrating that this medical device is safe, effective and ready for use on a wider scale.
When a supposedly healthy infant passes away, it can be hard to understand why. Juan Lavista Ferres (Microsoft), Dr Jan-Marino Ramirez and Dr Tatiana Anderson (both from Seattle Children’s Research Institute), and Professor Edwin Mitchell (University of Auckland), form the core of a novel collaboration to conduct vital and extensive research into the risk factors and mechanisms behind sudden unexpected infant death. This unique collaboration spanning across disciplines, industries and continents, is providing the deeper understanding that is needed to prevent unnecessary infant deaths.
The destruction of jungle and forest habitats is a serious issue threatening species across the globe. Dr LaRoy Brandt and Maggie Singleton of Lincoln Memorial University studied one such threatened species, Baird’s tapir, in Costa Rica. By identifying the tapir’s tracks and deploying remote trail cameras, the team caught rare glimpses of this threatened species, indicating a return of the native population and an increase in their numbers. The question is, however, is this increase a sign of improving habitats or a result of less favourable forces at play?
Digital healthcare promises a wealth of benefits for current healthcare systems, yet its uptake has been remarkably slow across Europe. Taking the example of the UK in particular, Paola Mattei, Associate Professor in Political Science at the University of Milan, Italy, has recently considered the explanations for the slow uptake of digital healthcare and provides a commentary on why this is the case and what challenges now need to be faced to ensure success.
Adverse environmental factors in the mother’s womb and/or during the first years of life have traditionally been thought to be responsible for an increased risk of cardiometabolic disease for children later in life. Dr Gunn-Helen Moen [MO-en] at the University of Oslo in Norway and her collaborators used sophisticated statistical and genetic techniques to identify whether there is a causal effect of environmental factors that influence intrauterine growth on future cardiometabolic risk in the child. Their results were surprising but important.
Using Machine Learning to Predict Bacterial Growth According to the Media Components | Dr Bei-Wen Ying
Bacterial growth depends on the complex interactions of a multitude of chemical components. Microbiologists have long attempted to predict bacterial growth according to culture media components, and have employed a variety of mathematical and computational models to this end. Dr Bei-Wen Ying and her colleagues at the University of Tsukuba, Japan, successfully applied machine learning to understand the contribution of media culture components to bacterial growth. Their work makes a significant contribution to growth prediction and demonstrates that machine learning can be employed in the exploration of the complex dynamics that regulate living systems.
Cellular senescence [suh-NEH-Sns] is the process by which cells age and permanently stop dividing but do not die. While the process of senescence creates a barrier to tumour formation, it can still be overcome by cancer cells. Sebastian Igelmann, a PhD student supervised by group leader Dr Gerardo Ferbeyre at the University of Montreal, has identified a group of enzymes that work together to reprogramme cellular metabolism. This work provides important insight into how tumour cells may initiate proliferation and circumvent senescence. Critically, this specialist group of enzymes provides a potential therapeutic target for human cancer treatment.
Despite their numerous side effects, opioid drugs and morphine-like agents have remained a pillar in the medical management of pain. Most clinically used opioid drugs act through mu opioid receptors. Dr Ying-Xian Pan and his team from the Rutgers New Jersey Medical School, USA, studies the molecular and cellular mechanisms of mu opioid receptors and aim to develop novel strategies and opioid analgesics for better treating pain without side effects associated with traditional opiates. Efforts to find substitutes for traditional opioid drugs are helping address the opiate abuse crisis that affects many countries around the globe.
Identifying the cause of an illness in a sick baby or child is not always easy, particularly if the disease is rare. Throughout his career, Dr Michael Wangler, at the Baylor College of Medicine and Jan and Dan Duncan Neurological Research Institute, has investigated rare childhood diseases. Combining his expertise in paediatrics and genetics, Dr Wangler utilises genomics, metabolomics and the humble fruit fly to identify the genes responsible for rare and undiagnosed diseases to improve both diagnosis and treatment.
Glioblastoma multiforme is an aggressive and life-threatening form of brain cancer. Although some treatments are available to provide comfort and prolong life, it remains an incurable and devastating disease. With the goal of advancing diagnostics and treatments for glioblastoma, Dr Hernando Lopez-Bertoni is carrying out exciting research at the Johns Hopkins University School of Medicine. Taking on board the cancer stem cell hypothesis, Dr Lopez-Bertoni has made fascinating discoveries into how miRNA genetic material can be utilised and how it could be delivered to the brain via nanoparticles.
Amid the global COVID-19 pandemic, we face challenges that require innovative and strategic responding. Dr Aldo Bonasera at Texas A&M University in the USA and Laboratori Nazionali del Sud, Istituto Nazionale di Fisica Nucleare in Italy, and Dr Hua Zheng at the School of Physics and Information Technology, Shaanxi Normal University in China, have taken a mathematical approach to compare the current COVID-19 pandemic with the Spanish Flu. Their findings have led to important recommendations for managing the current pandemic through vaccination programmes.
SciPod · Telemedicine in South East Asia: Current Guidelines and Future DirectionsSciPod · 东南亚的远程医疗: 当前指导方针与未来方向Original Article Reference This SciPod is a summary of...
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