Driven by the rapid advancements in artificial intelligence, computational pathology is emerging as a critical engine in the era of precision oncology. Traditional computational pathology primarily relies on task-specific models, which require the development of independent models for each distinct task.

In the UK, there was a case where TGN1412, an immunotherapy under development, triggered a cytokine storm within hours of administration to humans, leading to multiple organ failure. Another example, Aptiganel, a stroke drug candidate, was also highly effective in animals but was discontinued in humans due to side effects such as hallucinations and sedation.

Artificial intelligence (AI) and "protein language" models can speed the design of monoclonal antibodies that prevent or reduce the severity of potentially life-threatening viral infections, according to a multi-institutional study led by researchers at Vanderbilt University Medical Center.

Mayo Clinic researchers have developed an artificial intelligence (AI) algorithm that can identify obstructive sleep apnea (OSA) using the results from an electrocardiogram (ECG) - a common heart test. The innovation could make it faster, cheaper, and easier to spot sleep apnea, particularly in women, who are often underdiagnosed.

University of Texas at Dallas researchers have developed biosensor technology that when combined with artificial intelligence (AI) shows promise for detecting lung cancer through breath analysis.

The electrochemical biosensor identifies eight volatile organic compounds (VOCs) that are potential biomarkers for thoracic cancers, which include lung and esophageal cancers.

Despite enormous progress in the past two decades, the intentional control of bionic prostheses remains a challenge and the subject of intensive research. Now, scientists at the Medical University of Vienna and Imperial College London have developed a new method for precisely detecting the nerve signals remaining after an arm amputation and utilising them to control an artificial arm.

New work by a University of Illinois Urbana-Champaign scholar harnesses the power of generative artificial intelligence, using it in tandem with measurement-based care and access-to-care models in a simulated case study, creating a novel framework that promotes personalized mental health treatment, addresses common access barriers and improves outcomes for diverse individuals.