Scientists from UNSW Sydney with collaborators at Boston University have developed a tool that shows early promise in detecting Parkinson’s disease years before the first symptoms start appearing.

In research published today in the journal ACS Central Science, the researchers described how they used neural networks to analyse biomarkers in patients' bodily fluids.

An artificial intelligence (AI) tool has successfully identified people at the highest risk for pancreatic cancer up to three years before diagnosis using solely the patients’ medical records, according to new research led by investigators at Harvard Medical School and the University of Copenhagen, in collaboration with VA Boston Healthcare System, Dana-Farber Cancer Institute, and the Harvard T.H. Chan School of Public Health.

A new publication in the May issue of Nature Aging by researchers from Integrated Biosciences, a biotechnology company combining synthetic biology and machine learning to target aging, demonstrates the power of artificial intelligence (AI) to discover novel senolytic compounds, a class of small molecules under intense study for their ability to suppress age-related processes such as fibrosis, inflammation and cancer.

An artificial intelligence (AI) system enables robots to conduct autonomous scientific experiments - as many as 10,000 per day - potentially driving a drastic leap forward in the pace of discovery in areas from medicine to agriculture to environmental science.

Reported today in Nature Microbiology, the team was led by a professor now at the University of Michigan.

Artificial intelligence (AI) technology in the medical field has the possibility to automate diagnoses, decrease physician workload, and even to bring specialized healthcare to people in rural areas or developing countries. However, with possibility comes potential pitfalls.

Analyzing crowd-sourced sets of data used to create AI algorithms from medical images, University of Maryland School of Medicine (UMSOM) researchers found that most did not include patient demographics.

A team of researchers from Baidu Research has developed an AI algorithm that can rapidly design highly stable COVID-19 mRNA vaccine sequences that were previously unattainable. The algorithm, named LinearDesign, represents a major leap in both stability and efficacy for vaccine sequences, achieving a 128-fold increase in the COVID-19 vaccine's antibody response.

There has been widespread speculation about how advances in artificial intelligence (AI) assistants like ChatGPT could be used in medicine.

A new study published in JAMA Internal Medicine led by Dr. John W. Ayers from the Qualcomm Institute within the University of California San Diego provides an early glimpse into the role that AI assistants could play in medicine.