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Deep learning system accurately identifies joint space narrowing and erosions in hand radiographs

New research at ACR Convergence 2023, the American College of Rheumatology's (ACR) annual meeting, shows that a deep learning system could accurately identify and predict joint space narrowing and erosions in hand radiographs of patients with rheumatoid arthritis (RA).

7 Nov 2023

New quantitative analysis of how flu viruses evolved may help predict future strains

Simon Fraser University researchers studying the evolutionary history of flu viruses have found that a new quantitative analysis of how they evolved may help predict future strains.

7 Nov 2023

Proteomic study pinpoints potential biomarkers for long-COVID diagnosis and persistent health impacts

A two-year longitudinal study highlights proteomic changes in long-COVID patients, revealing potential biomarkers for diagnosis and shedding light on the persistent physiological challenges faced by survivors.

7 Nov 2023

Enhanc3D Genomics expands leadership team with the appointment of Hazel Jones as Chief Operating Officer

Enhanc3D Genomics today announced the appointment of Hazel Jones as Chief Operating Officer.

6 Nov 2023

New prosthetic converts brain signals to speech in real time

A speech prosthetic developed by a collaborative team of Duke neuroscientists, neurosurgeons, and engineers can translate a person's brain signals into what they're trying to say.

6 Nov 2023

New pathologic scoring system could help predict survival in lung cancer patients

A new pathologic scoring system that accurately assesses how much lung tumor is left after a patient receives presurgical cancer treatments can be used to predict survival, according to new research led by investigators at the Bloomberg~Kimmel Institute for Cancer Immunotherapy at the Johns Hopkins Kimmel Cancer Center and the Mark Foundation Center for Advanced Genomics and Imaging at the Johns Hopkins University.

6 Nov 2023

Machine learning paves the way for precision medicine in UTI treatments

Machine learning (ML) algorithms that predict antibiotic resistance in complicated urinary tract infections.

6 Nov 2023

AI-empowered system may accelerate laparoscopic surgery training

Trainee surgeons learning to conduct laparoscopic (or keyhole) surgery will soon be able to complete their training quicker thanks to an AI-empowered system being developed by researchers at the National Robotarium of Heriot-Watt University, in collaboration with the Dundee Institute for Healthcare Simulation of University of Dundee.

6 Nov 2023

AI model calculates percent necrosis in osteosarcoma patients with 99% accuracy

A research team at Johns Hopkins Medicine has created and trained a machine learning model to calculate percent necrosis (PN) - or, what percentage of a tumor is "dead" and no longer active - in patients with osteosarcoma, a type of bone cancer.

3 Nov 2023

New prediction model estimates risk of opioid relapse early in treatment

A newly developed prediction model may be able to calculate the risk of opioid relapse among individuals in the early stages of medication treatment - as early as three weeks into therapy.

3 Nov 2023

AI predicts glaucoma progression in high-risk patients with high accuracy

AI (artificial intelligence) that is trained to recognize red flags in retinal images and clinical information can predict if and when people at high risk of glaucoma, usually referred to as 'glaucoma suspects,' go on to actually develop it, finds research published online in the British Journal of Ophthalmology.

3 Nov 2023

New technology for automatically analyzing and visualizing medical data to be presented at Medica 2023

Medical imaging generates a lot of data, for example during computer tomography. This data is important when it comes to personalized medicine.

3 Nov 2023

AZoNetwork launches AZoAI, an open - access platform for the artificial intelligence industry

Leading scientific publisher introduces its 12th subject-specific website, AZoAI.com - the A to Z of Artificial Intelligence. The website educates and informs how the application of artificial intelligence will impact the science, engineering and healthcare sectors and provides industry experts in these fields with the latest news and content from the AI and machine learning industries.

3 Nov 2023

Tufts researchers explore the science of aging

Anti-wrinkle creams, superfoods that keep you young, dietary supplements that promise improved memory, "immortal" cells that can renew themselves forever - in our stores and media, claims about aging abound.

2 Nov 2023

CU professor of ophthalmology receives grant to study Parkinson's disease biomarkers

For some, the eyes are a window into the soul. But for Jayashree Kalpathy-Cramer, PhD, professor of ophthalmology at the University of Colorado School of Medicine, they're a window into human health.

1 Nov 2023

The development of a machine-learned scoring function of human preference in the context of early drug discovery campaigns

In a recent study published in Nature Communications, researchers developed a scoring mechanism based on artificial intelligence for early drug discovery campaigns that might be utilized for compound prioritizing, motif rationalization, and biased drug design.

1 Nov 2023

Advances in grain research illuminate potential for precision nutrition in clinical settings

Grains are a primary source of energy (calories) in the diet.

1 Nov 2023

New project combines traditional methods with metaviromics to study viral outbreaks in wild rodents

When, where, and why do diseases jump from animals to people? A new project will monitor how changing seasons, land use, and human behavior influence viral outbreaks in wild rodent populations, to identify hotspots with high potential for spillover into people.

31 Oct 2023

How next-gen sequencing is changing antibody drug discovery

New study outlines how next-generation sequencing (NGS) and machine-learning methods can revolutionize antibody discovery, particularly against SARS-CoV-2. The research demonstrates that NGS provides greater epitopic and paratopic diversity, enabling more effective identification and prioritization of therapeutic antibodies.

31 Oct 2023

Axon Biology & The Future of Drug Discovery: A Deep Dive with Dr Federico Dajas-Bailador

News-Medical sits down with Dr. Federico Dajas-Bailador, a leading expert in axon biology and drug discovery.

From ELRIG (UK) Ltd. 31 Oct 2023

Machine Learning News and Research

Deep learning system accurately identifies joint space narrowing and erosions in hand radiographs

New quantitative analysis of how flu viruses evolved may help predict future strains

Proteomic study pinpoints potential biomarkers for long-COVID diagnosis and persistent health impacts

Enhanc3D Genomics expands leadership team with the appointment of Hazel Jones as Chief Operating Officer

New prosthetic converts brain signals to speech in real time

New pathologic scoring system could help predict survival in lung cancer patients

Machine learning paves the way for precision medicine in UTI treatments

AI-empowered system may accelerate laparoscopic surgery training

AI model calculates percent necrosis in osteosarcoma patients with 99% accuracy

New prediction model estimates risk of opioid relapse early in treatment

AI predicts glaucoma progression in high-risk patients with high accuracy

New technology for automatically analyzing and visualizing medical data to be presented at Medica 2023

AZoNetwork launches AZoAI, an open - access platform for the artificial intelligence industry

Tufts researchers explore the science of aging

CU professor of ophthalmology receives grant to study Parkinson's disease biomarkers

The development of a machine-learned scoring function of human preference in the context of early drug discovery campaigns

Advances in grain research illuminate potential for precision nutrition in clinical settings

New project combines traditional methods with metaviromics to study viral outbreaks in wild rodents

How next-gen sequencing is changing antibody drug discovery

Axon Biology & The Future of Drug Discovery: A Deep Dive with Dr Federico Dajas-Bailador

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