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Rare genetic diseases frequently involve a neuropsychiatric component for which a defined framework of investigation will expedite our understanding for these diseases as a whole.
In this Perspective, the authors present a framework, context and guidelines for accelerating the translation of machine-learning-based interventions in health care.
The clinical translation of stem-cell-based therapeutic interventions has its own ethical and policy challenges requiring collaboration among wide-ranging stakeholders.
The TRANSNEURO Consortium shares valuable insights that may facilitate planning of human pluripotent stem-cell-derived dopamine cell transplants for future clinical trials on Parkinson’s disease.
Using the principles of community ecology in microbiome research will help to interpret these dynamic ecosystems and their relevance to health and disease.
The use and promotion of probiotics is widespread, but debatable in many cases. Prospective large-scale randomized studies that assess their effectiveness in promoting health and curing disease and take into account personalized responses of discrete human subpopulations will help clarify specific indications in which probiotics may be safe and beneficial.
A primer for deep-learning techniques for healthcare, centering on deep learning in computer vision, natural language processing, reinforcement learning, and generalized methods.