Machine Learning News and Research

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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

Self-supervised learning models generate brain-like activity patterns

To make our way through the world, our brain must develop an intuitive understanding of the physical world around us, which we then use to interpret sensory information coming into the brain.

30 Oct 2023

Rise in skin cancer cases underscores importance of early detection using machine learning

Image-processing techniques in machine learning (ML) for skin cancer detection using clinical images.

30 Oct 2023

Machine learning sheds light on mental health challenges faced by HCWs during COVID-19 pandemic

Machine learning reveals unique mental health struggles among healthcare workers during the COVID-19 pandemic, highlighting the urgent need for specialized support. The study analyzed therapy transcripts to show how healthcare professionals faced distinct challenges, including heightened anxiety and depression.

29 Oct 2023

AI shows promise in predicting type 2 diabetes but faces hurdles for clinical use

Researchers have conducted a comprehensive review of AI-based models for predicting type 2 diabetes, revealing their potential for individualized risk assessment and preventative care. Despite promising results, the study calls for more extensive validation and collaboration between AI and medical experts for effective clinical application.

26 Oct 2023

Researchers receive $1.5 million grant to develop VR assessment system for TBI

One of the most common injuries sustained by military personnel in recent conflicts has been traumatic brain injury, or TBI.

26 Oct 2023

Researchers to develop machine models to predict cardiometabolic risks in young people

A researcher at Binghamton University, State University of New York will lead a $2.5 million project from the National Institutes of Health to develop machine models to identify and predict cardiometabolic risks in adolescents and young adults.

26 Oct 2023

Newly identified amino acid may play key role in predicting outcomes and treatment of long COVID

University of Alberta researchers have identified an amino acid that may play a key role in predicting poor clinical outcomes and the treatment of long COVID.

26 Oct 2023

New AI model aims to fix flaws in smartphone-based COVID-19 X-ray diagnosis

Researchers highlight the limitations and challenges of using AI models for diagnosing COVID-19 from chest X-rays shared via smartphones. The study introduces a new multi-task learning model to improve diagnostic accuracy, addressing issues like prediction instability and faulty focus areas in images.

25 Oct 2023

New smartphone attachment could enable low-cost neurological screening for all

Engineers at the University of California San Diego have developed a smartphone attachment that could enable people to screen for a variety of neurological conditions, such as Alzheimer's disease and traumatic brain injury, at low cost - and do so accurately regardless of their skin tone.

25 Oct 2023

Utilizing Biomarkers in Cancer Prevention, Diagnosis, and Treatment

In this interview, Grace Liu from Sino Biological discusses the crucial role of biomarkers in cancer prevention and diagnosis and how they can help guide treatment decisions.

From Sino Biological Inc. 24 Oct 2023

Machine Learning News and Research

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

Self-supervised learning models generate brain-like activity patterns

Rise in skin cancer cases underscores importance of early detection using machine learning

Machine learning sheds light on mental health challenges faced by HCWs during COVID-19 pandemic

AI shows promise in predicting type 2 diabetes but faces hurdles for clinical use

Researchers receive $1.5 million grant to develop VR assessment system for TBI

Researchers to develop machine models to predict cardiometabolic risks in young people

Newly identified amino acid may play key role in predicting outcomes and treatment of long COVID

New AI model aims to fix flaws in smartphone-based COVID-19 X-ray diagnosis

New smartphone attachment could enable low-cost neurological screening for all

Utilizing Biomarkers in Cancer Prevention, Diagnosis, and Treatment

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