Discover how AI healthcare technology and machine learning diagnosis are transforming disease detection, improving accuracy, and reshaping patient care in today's evolving medical landscape.

A retinal image could help doctors quickly distinguish between similar neurodegenerative diseases such as ALS and Alzheimer’s disease, and with remarkable accuracy, according to new research.

Dr. Melanie Campbell and graduate student Lyndsy Acheson study an image of a retina. They are looking for protein deposits found in association with brain diseases, such as Alzheimer's, FTLD-TDP and ...

Researchers develop a 96% accurate AI-powered retinal scan to distinguish between Alzheimer’s and ALS by detecting specific protein deposits.

A retinal image could help doctors quickly distinguish between similar neurodegenerative diseases such as ALS and Alzheimer's disease, and with ...

EpiciphAI公司正研发一款液体活检产品，通过检测无细胞染色质上的组蛋白标记，确定染色质片段的组织来源，并区分该组织中与疾病相关的状态。目前该公司仍处于种子前阶段，其技术的首个应用场景为难以进行活检的组织的癌症诊断与病情监测。

Discover how AI startups are driving rapid AI industry disruption across healthcare, finance, marketing, and more—redefining innovation, efficiency, and the future of global industries.

A research team has developed a versatile machine learning model that could one day greatly expand what medical scans can tell us about disease. Scientists used their tool, named Merlin, to assess 3D ...

People who get less than 6 hours of sleep on weekdays have a 25% higher risk of experiencing an epiretinal membrane.

Researchers in Sweden have developed an artificial intelligence model that uses blood metabolites from autopsy samples to estimate the post-mortem interval with a precision of around one day, ...

The field of immunology has long recognized immune system dysregulation as a cornerstone of pathogenesis across a range of human diseases, including ...

Behavioral changes—such as anxiety, depression, irritability, apathy or agitation, collectively known as neuropsychiatric ...