A new paper in Biology Methods & Protocols, published by Oxford University Press, indicates that it may soon be possible for doctors to use artificial intelligence (AI) to detect and diagnose cancer in patients, allowing for earlier treatment. Cancer remains one of the most challenging human diseases, with over 19 million cases and 10 million deaths annually. The evolutionary nature of cancer makes it difficult to treat late-stage tumours.

Health Innovation East, the innovation arm of the NHS in the East of England and Cogniss, a no-code ecosystem for digital health solutions, have announced a strategic partnership to launch the Health Innovation East Digital Hub.

A no-code ecosystem is an online collection of tools, ways of working and learning resources that help people with no technical expertise build apps, in a point-and-click way, without the need for coding.

This study is led by Prof. Bin Dong (Beijing International Center for Mathematical Research, Peking University) and Prof. Lin Shen (Department of Gastrointestinal Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute).

With the onset of the 21st century marked by a staggering growth in artificial intelligence (AI) capabilities, we have witnessed groundbreaking advancements and transformations across various industries.

Scientists at the University of Southern California have developed an artificial intelligence (AI)-powered system to track tiny devices that monitor markers of disease in the gut. Devices using the novel system may help at-risk individuals monitor their gastrointestinal (GI) tract health at home, without the need for invasive tests in hospital settings. This work appears June 12 in the journal Cell Reports Physical Science.

A computer program based on data from nearly a half-million tissue images and powered by artificial intelligence (AI) can accurately diagnose cases of adenocarcinoma, the most common form of lung cancer, a new study shows.

Researchers at NYU Langone Health's Perlmutter Cancer Center and the University of Glasgow developed and tested the program. They say that because it incorporates structural features of tumors from 452 adenocarcinoma patients,

Using an advanced artificial intelligence (AI) tool, researchers at the Icahn School of Medicine at Mount Sinai have identified rare coding variants in 17 genes that shed light on the molecular basis of coronary artery disease (CAD), the leading cause of morbidity and mortality worldwide.

The discoveries, detailed in the June 11 online issue of Nature Genetics, reveal genetic factors impacting heart disease that open new avenues for targeted treatments and personalized approaches to cardiovascular care.

In a new research article, scientists at Chan Zuckerberg Biohub San Francisco (CZ Biohub SF) describe Omega, an open-source software tool that significantly advances the field of bioimage analysis. Omega harnesses the power of large language models (LLMs) to enable scientists to process and analyze biological images through natural language conversations rather than having to issue formal commands or write code.