A transformative study published in Health Data Science, a Science Partner Journal, introduces a groundbreaking end-to-end deep learning framework, known as Knowledge-Empowered Drug Discovery (KEDD), aimed at revolutionizing the field of drug discovery. This innovative framework adeptly integrates structured and unstructured knowledge, enhancing the AI-driven exploration of molecular dynamics and interactions.

Radiologists and radiographers at Northern Care Alliance NHS Foundation Trust have become the first in Greater Manchester to use the Sectra picture archiving and communication system (PACS) to report on diagnostic imaging.

Deployed as part of an enterprise imaging agreement signed with Sectra in 2020, the PACS is already used by clinicians in NHS hospitals, who are part of the Greater Manchester Imaging Network across the region to view, analyse and interrogate millions of patient scans including x-rays, CT scans, ultrasounds and MRIs.

Researchers at McMaster University and Stanford University have invented a new generative artificial intelligence (AI) model which can design billions of new antibiotic molecules that are inexpensive and easy to build in the laboratory.

The worldwide spread of drug-resistant bacteria has created an urgent need for new antibiotics, but even modern AI methods are limited at isolating promising chemical compounds, especially when researchers must also find ways to manufacture these new AI-guided drugs and test them in the lab.

A powerful new tool in artificial intelligence is able to predict whether someone is willing to be vaccinated against COVID-19.

The predictive system uses a small set of data from demographics and personal judgments such as aversion to risk or loss.

The findings frame a new technology that could have broad applications for predicting mental health and result in more effective public health campaigns.

A mobile app that uses artificial intelligence, AI, to analyse images of suspected skin lesions can diagnose melanoma with very high precision. This is shown in a study led from Linköping University in Sweden where the app has been tested in primary care. The results have been published in the British Journal of Dermatology.

Performing a new task based solely on verbal or written instructions, and then describing it to others so that they can reproduce it, is a cornerstone of human communication that still resists artificial intelligence (AI). A team from the University of Geneva (UNIGE) has succeeded in modelling an artificial neural network capable of this cognitive prowess.

Researchers have developed a new, interpretable artificial intelligence (AI) model to predict 5-year breast cancer risk from mammograms, according to a new study published today in Radiology, a journal of the Radiological Society of North America (RSNA).

One in 8 women, or approximately 13% of the female population in the U.S., will develop invasive breast cancer in their lifetime and 1 in 39 women (3%) will die from the disease, according to the American Cancer Society.