On July 26–30, the greatest minds in clinical laboratory medicine will converge in Anaheim, California for ADLM 2026. Convened by the Association for Diagnostics & Laboratory Medicine (ADLM), this year’s meeting will be headlined by a legendary figure in diabetes care, a physician to astronauts, an Alzheimer’s and Down syndrome expert, a doctor working to broaden cervical cancer screening, and a scientist uncovering new biomarkers for blood cancers.

Implementing a federal nicotine reduction strategy may prevent millions of premature deaths, boost productivity, and significantly close smoking disparity gaps for individuals with major depression, according to Rutgers Health researchers.

People with congenital heart disease living in states with lower average household incomes and higher percentages of uninsured residents had increased rates of death and disability, according to a new study in the Journal of the American Heart Association

The world's ‘heritage’ diets could hold vital clues to better health. Writing in Nature Medicine, researchers from 12 countries have launched the World Diet Initiative, a global effort to document and study these diets before this knowledge is lost.

People who feel lonely are much more likely to experience poorer mental health and lower wellbeing, a new collaborative study led by the University of Bristol, Nesta and Amsterdam UMC has found. Loneliness was also found to be linked with worse general health, including experiencing multiple health conditions. Social isolation is associated with lower wellbeing, too.

In their first two years after graduation, resident doctors are currently twice as likely as other healthcare professionals to make prescribing errors. However, new evidence presented by Taylor & Francis during Sense about Science Evidence Week demonstrates that incorporating structured, video-enhanced feedback into training programs can dramatically reduce these mistakes.

Researchers at the Technion – Israel Institute of Technology have developed DeepHHF, an artificial intelligence model that predicts the risk of heart failure up to five years before the onset of clinical disease using routine 24-hour Holter ECG recordings. Published in npj Digital Medicine, the model was trained on approximately 70,000 Holter examinations provided by Leumit Health Services and detects subtle ECG abnormalities that are often imperceptible to clinicians. By enabling early identification of high-risk patients, DeepHHF could support timely preventive treatment and help reduce hospitalizations, morbidity, and mortality. The study was led by Prof. Joachim Behar and Ph.D. student Eran Zvuloni from the Technion's Faculty of Biomedical Engineering, in collaboration with researchers and physicians from Rambam Health Care Campus, Shaare Zedek Medical Center, the Hebrew University of Jerusalem, Leumit Health Services, and Hadassah Medical Center.