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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 ...

Cardiology

Mobile app tracking blood pressure helps patients in Ghana

The AHOMKA platform, an innovative mobile app for patient-to-provider communication that was developed through a collaboration between the School of Engineering and leading medical institutions in Ghana, has yielded positive ...

Health

Tweets and AI models reveal heat stroke risks in urban areas

Heat stroke poses a significant health risk, especially during extreme temperature conditions. As global temperatures rise due to climate change, the frequency and severity of heat waves have increased, putting vulnerable ...

Neuroscience

A geometric deep learning method for decoding brain dynamics

In the parable of the blind men and the elephant, several blind men each describe a different part of an elephant they are touching—a sharp tusk, a flexible trunk, or a broad leg—and disagree about the animal's true nature. ...

Health informatics

Lack of regulations, oversight in health care IT can cause harm

New ILR School-led research offers a comprehensive overview of the role of health information technology (IT) in the financialization of the health care industry—the extent to which Silicon Valley and Wall Street investors ...

Cardiology

Blood test promises safer heart attack prevention

A simple scoring system could revolutionize how doctors prevent heart attacks and strokes by identifying patients most likely to benefit from preventive medications, according to a new study. The study is published in the ...

Health

AI in medicine—a threat to patient autonomy?

The medical use of artificial intelligence (AI) threatens to undermine patients' ability to make personalized decisions. New research by Dr. Christian Günther, scientist at the Max Planck Institute for Social Law and Social ...