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Ai in Healthcare

AI-based method shows promise for precision medicine

Artificial intelligence, AI, which finds patterns in complex biological data could eventually contribute to the development of individually tailored healthcare. Researchers at Linköping University in Sweden have developed an AI-based method applicable to various medical and...

Mount Sinai researchers receive NIH grant to compare new treatment options for sickle cell disease

The Mount Sinai Health System has received a $12,180,625 grant from the National Heart, Lung and Blood Institute to compare new treatment options for sickle cell disease and determine which work best for specific patients. Sickle cell...

Study sheds light on how traumatic memories are created

Scientists have long speculated about the physical changes that occur in the brain when a new memory is formed. Now, research from the National Institute for Physiological Sciences (NIPS) has shed light on this intriguing neurological...

New AI-based method reduces latency in neurofeedback by 50-fold

Researchers from HSE University and the Artificial Intelligence Research Institute (AIRI) have successfully lowered the latency between a change in brain activity and the presentation of the corresponding neurofeedback signal by a factor of 50. The...

AI-powered unbiased pain detection system holds promise for improving patient care

An automated pain recognition system using artificial intelligence (AI) holds promise as an unbiased method to detect pain in patients before, during and after surgery, according to research presented at the ANESTHESIOLOGY® 2023 annual meeting. Currently, subjective...

Antiverse and GlobalBio, Inc. extend collaboration to advance antibody cancer therapeutics

Antiverse Ltd (Antiverse), a biotechnology company developing a computational antibody drug discovery platform, and GlobalBio, Inc. (GlobalBio), an antibody engineering company developing methods to engineer improved and more developable therapeutic antibodies, today announced they will be...

AI innovation “Sturgeon” transforms classification of central nervous system malignancies

In a recent study published in Nature, researchers developed Sturgeon, a patient-agnostic transfer-learned neural network, to enable molecular subclassification of central nervous system (CNS) malignancies based on sparsity profiles. Study: Ultra-fast deep-learned CNS tumour classification during surgery. Image...

Q&A: How to properly implement data to ensure effective generative AI use

Varying use cases for generative AI in healthcare have emerged, from assisting providers with clinical documentation to helping researchers determine novel experimental designs.  Anita Mahon, executive vice president and global head of healthcare at EXL, sat down with MobiHealthNews to discuss how the global analytics and digital solutions company...

Scientists uncover key enzymes involved in bacterial pathogenicity

Gram-negative bacteria cause a variety of infectious diseases in plants and animals alike. Outbreaks of Salmonella and E. coli infections often make headlines due to their severity, and people have to resort to allopathic as well...

Study highlights need for early intervention for behavioral problems

A six-year study that analyzed data from a 25-question screening tool found alarming evidence of unhealthy behavioral trajectories starting as early as age 2 among families affected by low income and other social stressors. Findings from the...