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Health informatics news

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 ...

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.

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 ...

Diseases, Conditions, Syndromes

AI shows promise in predicting the progression of autoimmune disease

Autoimmune diseases, in which the immune system mistakenly attacks the body's own healthy cells and tissues, often include a preclinical stage before diagnosis that's characterized by mild symptoms or certain antibodies in ...

Psychology & Psychiatry

AI system helps doctors identify patients at risk for suicide

A new study from Vanderbilt University Medical Center shows that clinical alerts driven by artificial intelligence (AI) can help doctors identify patients at risk for suicide, potentially improving prevention efforts in routine ...

Diseases, Conditions, Syndromes

Modeling tool estimates COVID-19 testing saved 1.4 million lives

The COVID-19 pandemic highlighted how crucial testing is for disease preparedness and response, and new research from the Johns Hopkins Applied Physics Laboratory (APL) and a team of collaborators underscores that principle.

Ophthalmology

AI aids in discovery of potential glaucoma drug candidates

Glaucoma is a progressive eye disorder characterized by fluid buildup inside the eye, causing ocular hypertension. By 2040, it is estimated that 111.8 million people worldwide will be affected by glaucoma, potentially leading ...

Attention deficit disorders

AI tool analyzes medical charts for ADHD follow-up care

Stanford Medicine researchers have built an artificial intelligence tool that can read thousands of doctors' notes in electronic medical records and detect trends, providing information that physicians and researchers hope ...

Oncology & Cancer

AI model achieves high accuracy in skin cancer detection

Led by Aliyu Tetengi Ibrahim and his team at Ahmadu Bello University, a study published in Data Science and Management on November 2, 2024, introduces an innovative AI model that could revolutionize the way dermatologists ...

Health informatics

Leveraging AI to assist clinicians with physical exams

Physical examinations are important diagnostic tools that can reveal critical insights into a patient's health, but complex conditions may be overlooked if a clinician lacks specialized training in that area. While previous ...