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Analysis of glycemic and non-glycemic characteristics in individuals at risk for type 2 diabetes identifies six putative subgroups that differ in terms of risk of diabetes progression and complications.
Shared medical appointments, whereby patients with similar medical conditions consult their medical practitioner together, alleviate pressure on the health system and provide an instant support network for the patient. Why not make them virtual?
The United Nations Assembly has named 2021 the International Year of Peace and Trust. In that spirit, the world can look forward with hope to the international collaborations spearheaded by the World Health Organization and consider the challenges the agency has yet to face.
There has been a lot of hype around the applications of machine learning in medicine. But how is machine learning actually helping bench-to-bedside scientists and clinicians do their jobs?
Liver metastases lead to resistance to immunotherapy through the ‘siphoning’ of tumor antigen–specific CD8+ T cells into the liver, which results in a systemic ‘immune desert’ incapable of controlling tumor burden.
Stakeholders in public health must lobby policy makers to make decisions based on evidence, not political expediency, particularly when the studies that hang in the balance are critical to understanding the origins of epidemics.
The pandemic has thrust many mainstream journalists into unfamiliar grounds, including coverage of expert opinion that is not backed up by peer-reviewed content, reporting on preprints, and assessing high-complexity instant-response science. How did they manage? We asked five journalists from mainstream media about their experience.
An algorithmic, machine-learning approach to measuring severe pain from osteoarthritis applied to X-ray images of knees suggests that reported disparities in knee pain in underserved populations can be reduced by comparison with use of standard radiographic measures of disease severity.
Cabozantinib, an inhibitor of multiple receptor tyrosine kinases, has efficacy in a mouse model of neurofibromatosis type I and has clinical activity in reducing plexiform neurofibroma volume in a phase II trial of patients with NF1.
A comprehensive census of the dynamics of death and regeneration of cells and tissues provides an estimation of the distribution of cellular turnover in the human body.
An in vitro human tonsil tissue-based system captures key features of a functional germinal center and can be used to study humoral immune responses to vaccines, new antigens and adjuvants.
Analysis of 10,900 whole-exome sequences linked to electronic health care records in the Penn Medicine Biobank enabled an exome-wide study of the phenotypic effects of rare loss-of-function gene variants, identifying new gene–disease associations that replicated across other biobanks.
Analyses from the gut microbiome of over 1,000 individuals from the PREDICT 1 study, for which detailed long-term diet information as well as hundreds of fasting and same-meal postprandial cardiometabolic blood marker measurements are available, unveil new associations between specific gut microbes, dietary habits and cardiometabolic health.
A generalizable and interpretable artificial-intelligence system achieves clinical accuracy for screening and early breast-cancer detection on 2D and 3D mammograms.
Liver metastases reduce clinical and preclinical immune-checkpoint inhibitor efficacy through hepatic siphoning of circulating activated CD8+ T cells, but therapeutic benefit can be improved by combining immunotherapy with liver-directed radiotherapy.