Deep Learning-Based Model Enables Fast and Accurate Stroke Risk Prediction

Stroke is the second leading cause of death globally. Ischemic stroke, strongly linked to atherosclerotic plaques, requires accurate plaque and vessel wall segmentation and quantification for definitive diagnosis. However, conventional manual segmentation remains time-consuming and operator-dependent, whereas current computer-aided tools fall short in achieving the accuracy required for clinical applications.

Read more ...

The Human Touch of Doctors will Still be Needed in the AI Healthcare Revolution

AI-based medicine will revolutionise care including for Alzheimer’s and diabetes, predicts a technology expert, but it must be accessible to all patients.

Healing with Artificial Intelligence, written by technology expert Daniele Caligiore, uses the latest science research to highlight key innovations assisted by AI such as diagnostic imaging and surgical robots.

Read more ...

New AI Tool Illuminates "Dark Side" of the Human Genome

Proteins sustain life as we know it, serving many important structural and functional roles throughout the body. But these large molecules have cast a long shadow over a smaller subclass of proteins called microproteins. Microproteins have been lost in the 99% of DNA disregarded as "noncoding" - hiding in vast, dark stretches of unexplored genetic code. But despite being small and elusive, their impact may be just as big as larger proteins.

Read more ...

Stepping for Digital Rewards

Walking is well known to have significant health benefits, but few people achieve the daily recommended steps. Fortunately, mobile health (mHealth) applications have emerged as promising tools to promote physical activity. These apps track user activities on mobile devices to deliver health and wellness services. However, the effectiveness of these apps in increasing daily walking behavior remains underexplored, partly due to variations in their incentive structures.

Read more ...

AI Catches One-Third of Interval Breast Cancers Missed at Screening

An AI algorithm for breast cancer screening has potential to enhance the performance of digital breast tomosynthesis (DBT), reducing interval cancers by up to one-third, according to a study published in Radiology, a journal of the Radiological Society of North America (RSNA).

Interval breast cancers - symptomatic cancers diagnosed within a period between regular screening mammography exams - tend to have poorer outcomes due to their more aggressive biology and rapid growth.

Read more ...

Researchers Create 'Virtual Scientists' to Solve Complex Biological Problems

There may be a new artificial intelligence-driven tool to turbocharge scientific discovery: virtual labs.

Modeled after a well-established Stanford School of Medicine research group, the virtual lab is complete with an AI principal investigator and seasoned scientists.

Read more ...

From WebMD to AI Chatbots: How Innovation has Empowered Patients to Take Control of their Health

A new research article published in the Journal of Participatory Medicine unveils how successive waves of digital technology innovation have empowered patients, fostering a more collaborative and responsive health care system. The paper, titled "From Internet to Artificial Intelligence (Al) Bots: Symbiotic Evolutions of Digital Technologies and e-Patients," explores the symbiotic evolution of digital health tools and the increasingly engaged e-patient.

Read more ...

Great plan: Now We need to Get Real about Digital Delivery

The government's big plan for the 10 Year Health Plan for the NHS laid out a big role for delivery. However, the Highland Marketing advisory board felt the missing implementation plan will have some big issues to address, from addressing the state of NHS IT today, to finding the time and money to deliver on its vision.

Read more ...

New AI Tool Accelerates mRNA-Based Treatments for Viruses, Cancers, Genetic Disorders

A new artificial intelligence (AI) model can improve the process of drug and vaccine discovery by predicting how efficiently specific mRNA sequences will produce proteins, both generally and in various cell types. The new advance, developed through an academic-industrial partnership between The University of Texas at Austin and Sanofi, helps predict how much protein cells will produce, which can minimize the need for trial-and-error experimentation, accelerating the next generation of mRNA therapeutics.

Read more ...

Can Amazon Alexa or Google Home Help Detect Parkinson's?

Computer scientists at the University of Rochester have developed an AI-powered, speech-based screening tool that can help people assess whether they are showing signs of Parkinson’s disease, the fastest growing neurological disability in the world. A study published in the journal npj Parkinson's Disease introduces a web-based screening test that asks users to recite two pangrams - short sentences using all 26 letters of the alphabet.

Read more ...