Anita Chakraverty

Training a medical AI tool with pictures of camouflaged animals in the wild can improve its accuracy in detecting brain cancer on imaging scans, a study shows.

Research advances into the design of lipids that deliver messenger RNA (mRNA) therapeutics could result in more effective vaccines and treatments for conditions that range from genetic disorders to infectious diseases.

Non-invasive imaging tests currently used at the bedside to monitor tissue conditions could help in the early detection of sepsis, preclinical research indicates.

A molecular imaging approach can distinguish between different types of a common ovarian cancer and rapidly predict its response to chemotherapy within just 48 hours.

Mini, biodegradable, gas-filled microrobots have been developed that can be magnetically steered through urine and blood to deep within the body where they have the potential for a multitude of biomedical applications.

Parts of the genome that do not code for proteins may nonetheless play a significant role in how emotional experiences can lead to drug and mental health issues, preclinical research suggests.

A new diagnostic test that processes two biomarkers in the synovial fluid of joints through an algorithm can accurately distinguish osteoarthritis from inflammatory arthritis for the first time.

A genetic predisposition to dyslexia may be associated with specific brain structures that could also predispose to several other conditions, according to a major study involving data from the UK Biobank and 23andMe.

A study in twins has revealed the importance of a person's genetic makeup in determining their level of protection with seasonal flu vaccination, which could lead to better defenses against pandemic viruses.

A large language model (LLM) can measure the quality of primary care and flag areas for improvement among children prescribed medication for attention