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EASI algorithm set to transform forensic drug identification processes

Relief is coming for crime scene investigators and toxicologists who have struggled to accurately and swiftly identify drugs that have been seized by law enforcement and may be relied on as evidence at trial, thanks to a research partnership between West Virginia University and the U.S. Drug Enforcement Administration.

15 Nov 2024

Evo model set to transform synthetic biology and disease diagnosis

A new study presents "Evo" – a machine learning model capable of decoding and designing DNA, RNA, and protein sequences, from molecular to genome scale, with unparalleled accuracy. Evo's ability to predict, generate, and engineer entire genomic sequences could change the way synthetic biology is done.

15 Nov 2024

Nanowire-based technology detects cancer-associated miRNAs in urine

Cancer has a high death rate with delayed diagnosis of the disease being one of the main reasons for its fatality.

15 Nov 2024

Microbial density in our gut shapes how diseases are linked to gut health

The study in Cell highlights microbial load's role in gut microbiome variation, suggesting it as a confounder in disease research and a key health determinant.

15 Nov 2024

Futuristic AI-powered virtual lab designs potent SARS-CoV-2 nanobodies

AI-human collaboration in a "Virtual Lab" successfully designs and experimentally validates nanobodies with enhanced binding to SARS-CoV-2 variants, offering a novel approach to interdisciplinary research.

14 Nov 2024

Study links heart shape to genetic risk of cardiovascular diseases

A new multi-national study has revealed that the shape of the heart is influenced in part by genetics and may help predict the risk of cardiovascular diseases.

14 Nov 2024

Deep learning AI model outperforms humans in identifying pathologies

A "deep learning" artificial intelligence model developed at Washington State University can identify pathology, or signs of disease, in images of animal and human tissue much faster, and often more accurately, than people.

14 Nov 2024

Update on diagnosis, risk classification and treatment of Kawasaki Disease

Advances in cardiac imaging techniques and risk categorization have led to improvements in diagnosis, initial treatment and long-term management of patients with Kawasaki Disease, according to a new scientific statement published today in the American Heart Association's flagship, peer-reviewed journal Circulation.

14 Nov 2024

Innovative urine test could improve pancreatic cancer survival rates

Innovative urinary miRNA profiling shows potential for early pancreatic cancer detection, with high accuracy and sensitivity, transforming screening practices.

14 Nov 2024

Study shows how microbial load affects gut health and disease

In sickness or in health, the billions of microorganisms that inhabit our guts are our constant companions throughout life. In the past few decades, scientists have shown how the nature of this 'microbiome' can provide valuable clues to human diseases and their treatment.

14 Nov 2024

Rutgers study sheds light on how bedaquiline fights drug-resistant tuberculosis

Rutgers Health research has uncovered why a relatively new antibiotic for tuberculosis (TB) works against multidrug-resistant strains, potentially inspiring improved treatments and drug development strategies.

13 Nov 2024

Professor Nancy Ip: Pioneering New Paths in Neurodegenerative Therapy

Professor Nancy Ip discusses her groundbreaking neuroscience research, focusing on neurotrophic factors and innovative Alzheimer's disease treatment approaches.

13 Nov 2024

Machine learning helps predict stroke risk after CF-LVAD implantation

Some patients with advanced heart failure can benefit from the support of a continuous-flow left ventricular assist device (CF-LVAD) to sustain heart function. However, despite improvements managing complications associated with the use of CF-LVADs, stroke continues to be a major adverse event after the implantation of the device.

12 Nov 2024

AI tool tracks infant movement to predict neurologic changes in NICU

A team of clinicians, scientists, and engineers at Mount Sinai trained a deep learning pose-recognition algorithm on video feeds of infants in the neonatal intensive care unit (NICU) to accurately track their movements and identify key neurologic metrics.

11 Nov 2024