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Health informatics news

Medications

Challenging negative data helps AI models better identify effective antibodies

Imagine you are developing antibodies—drugs precisely aimed at a target, for example a viral protein or onco-marker. You test a series of antibodies and find that some work, while others do not.

Diseases, Conditions, Syndromes

Guiding epidemic interventions through a fog of noisy data

Imperial College London's Department of Infectious Disease Epidemiology reports a model-predictive control approach that times non-pharmaceutical interventions from noisy real-time case data, generally achieving better control ...

Medical research

Old data can transform the future of health care

Patient preference studies (research into what patients value in their treatment) are increasingly used to inform drug development and regulatory approval decisions. But these studies are expensive and time-consuming to conduct. ...

Oncology & Cancer

Using deep learning for precision cancer therapy

Nearly 50 new cancer therapies are approved every year. This is good news. "But for patients and their treating physicians, it is becoming increasingly difficult to keep track and to select the treatment methods from which ...

Oncology & Cancer

AI matches dermatologists in assessing common skin cancer

A simple AI model has been shown to perform on a par with experienced dermatologists when assessing the aggressiveness of a common form of skin cancer, squamous cell carcinoma. The research was headed by the University of ...

Psychology & Psychiatry

AI tools fall short in predicting suicide, study finds

The accuracy of machine learning algorithms for predicting suicidal behavior is too low to be useful for screening or for prioritizing high-risk individuals for interventions, according to a new study published September ...

Alzheimer's disease & dementia

AI-powered eye scan predicts risk of cognitive decline and dementia

A new study led by researchers from the Yong Loo Lin School of Medicine at the National University of Singapore (NUS Medicine) has demonstrated that artificial intelligence (AI) analysis of retinal photographs can predict ...

Health informatics

Q&A: Transparency in medical AI systems is vital, researchers say

While debate rumbles about how generative artificial intelligence will change jobs, AI is already altering health care. AI systems are being used for everything from drug discovery to diagnostic tasks in radiology and clinical ...

Health informatics

Modernizing the management of health records

The U.S. health-care system exchanges tens of millions of patient records a day. Thanks to recent technological advances, the ability to analyze such large amounts of data has improved markedly.

Obstetrics & gynaecology

Fertility tracking has increased in some states post-Dobbs

The use of fertility-tracking technology increased in some states after the U.S. Supreme Court overturned Roe v. Wade despite warnings that reproduction-related data might not be secure, a new study has found.

Diseases, Conditions, Syndromes

AI accelerates search for new tuberculosis drug targets

Tuberculosis is a serious global health threat that infected more than 10 million people in 2022. Spread through the air and into the lungs, the pathogen that causes "TB" can lead to chronic cough, chest pains, fatigue, fever ...

Medications

AI tool helps find life-saving medicine for rare disease

After combing through 4,000 existing medications, an artificial intelligence tool helped uncover one that saved the life of a patient with idiopathic multicentric Castleman's disease (iMCD). This rare disease has an especially ...