Top talking points also included news of an appellate ruling concerning ‘Pisco’ and Indian drugmakers gearing up to launch generic versions of Ozempic as Novo Nordisk’s patent expires ...

Long-term lithium therapy remains the most effective maintenance treatment for bipolar disorder, yet it poses a significant risk of progressive renal impairment in a subset of patients. Early ...

A machine learning model applied to US death certificate data estimated that over 155,000 COVID-19 deaths were unrecognized between March 2020 and December 2021, suggesting total mortality was about ...

A new study utilized a novel machine learning method to identify unrecognized COVID-19 deaths during the first two years of the pandemic and found ...

Researchers at Trinity College Dublin have found that a machine learning model could help clinicians predict which people with depression are more likely to improve with digital cognitive behavioral ...

Previous research has suggested a potential link between type 2 diabetes and dementia risk. However, a new study suggests that the risk of dementia may be even higher for those living with type 1 ...

Founded by Akanksha Gupta and microbiome researcher Dr Palok, the healthtech startup uses AI-driven metabolite analysis to profile gut microbes and deliver personalised nutrition and probiotic ...

Obesity increases the body's need for insulin, forcing cells in the pancreas known as beta cells to ramp up insulin ...

We present one of the first comprehensive evaluations of predictive information derived from retinal fundus photographs, illustrating the potential and limitations of readily accessible and low-cost ...

Dr M Srinivas, director of AIIMS Delhi, on AI in diagnostics, public healthcare pressures, lifestyle diseases and how AIIMS ...

AI in life sciences presents key opportunities in drug discovery, personalized medicine, and diagnostics by leveraging vast datasets for precise, cost-effective solutions. Growth is driven by ...

Objective To estimate the prevalence of potential overtreatment of type 2 diabetes mellitus (T2DM) among older adults and to develop and compare predictive models to identify patient and physician ...