Machine Learning News and Research

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Machine learning model predicts liver cancer risk with high accuracy

A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient's risk of hepatocellular carcinoma (HCC), the most common type of liver cancer, with high accuracy.

26 Mar 2026

New algorithm enables precise subtyping of metabolic liver disease

Metabolic-associated steatotic liver disease (MASLD) is a clinically heterogeneous condition with highly variable outcomes affecting more than 30% individuals globally.

26 Mar 2026

iXCells Biotechnologies joins international collaboration to evaluate chemotherapeutic toxicity in human organoids

iXCells Biotechnologies ("iXCells"), a leading provider of human cell-based solutions and custom iPSC services, today announced it has entered an international collaboration with Rosebud Biosciences ("Rosebud"), Kantify, and Incite to evaluate off-target chemotherapeutic toxicities in patient-specific organoids.

From iXCells Biotechnologies 25 Mar 2026

Optibrium introduces graphical interface for QuanSA to enhance ligand-based affinity predictions

Optibrium, a leading developer of software and AI solutions for molecular design, today announced a new QuanSA™ plugin for PyMOL, providing an intuitive Graphical User Interface (GUI) for its ligand-based binding affinity prediction method, part of the Company's BioPharmics 3D molecular modelling platform.

From Optibrium Ltd. 25 Mar 2026

Navigating the moral landscape of pediatric AI surgery

Technological innovation has always driven surgical progress, and AI now represents the next transformative wave. Machine learning models are now being developed to predict surgical risks, assist in diagnosing rare congenital disorders, analyze imaging data, and anticipate postoperative complications. Risk prediction tools have already shifted from traditional statistical methods to more complex machine learning approaches, improving their ability to account for nonlinear interactions.

25 Mar 2026

Palmatine improved fatty liver markers in a preclinical type 2 diabetes study

Researchers used a bioinformatics-plus-rat-model approach to investigate how palmatine may help treat T2DM-associated MASLD, identifying five core targets: ADRB2, BCL3, EGR1, FOS, and MAP3K8. In rats, palmatine improved liver injury, inflammation, oxidative stress, glycolipid metabolism, steatosis, and fibrosis, while reducing apoptosis-related signaling, providing a preclinical foundation for further therapeutic study.

23 Mar 2026

Webinar introduces advanced bioinformatics tool to interpret mutations in cancer genomes

A free open-access webinar will introduce the Cancer Genome Interpreter (CGI), an advanced bioinformatics tool to interpret mutations in cancer genomes developed by IRB Barcelona and co-created with European hospitals to turn complex cancer genomics into actionable insights.

23 Mar 2026

AI-powered ultrasound analysis identifies high-risk heart failure cases

Applying artificial intelligence techniques to cardiac ultrasound data may make it easier to identify patients with advanced heart failure, a new study has found.

23 Mar 2026

Machine learning speeds up AMP discovery for treating ulcerative colitis

Ulcerative colitis (UC) is a chronic inflammatory bowel disease characterized by recurrent intestinal inflammation, abdominal pain and diarrhea.

23 Mar 2026

Socioeconomic gaps shape vulnerability to air pollution mortality in Europe

Socioeconomic factors are widely recognized as potential modifiers of the relationship between air pollution and mortality, but the available evidence remains limited.

19 Mar 2026

Researchers use AI to reveal the true scale of COVID-19 mortality in the US

A machine learning model applied to US death certificate data estimated that over 155,000 COVID-19 deaths were unrecognized between March 2020 and December 2021, suggesting total mortality was about 19% higher than official counts. These undercounted deaths disproportionately affected marginalized populations, including racial minorities, lower-income groups, and residents of the Southern United States.

19 Mar 2026

New data hub aims to advance alternatives to animal testing

A research team at NYU Langone Health and Sage Bionetworks has been awarded a $25 million grant to establish the data hub and coordinating center for the National Institutes of Health's Complement-Animal Research in Experimentation (Complement-ARIE) program.

18 Mar 2026

New data platform transforms prediction and understanding of Alzheimer’s disease

A powerful new real-world data platform could transform how scientists predict and understand Alzheimer's disease and Alzheimer's disease related dementias (AD/ADRD), reports a new study at Columbia University Mailman School of Public Health and collaborators at the Vagelos College of Physicians and Surgeons, the School of Nursing as well as the University of Miami and University of Chicago.

18 Mar 2026

Computational model predicts telomere length from biopsy images

A new computational tool infers changes occurring at the ends of the chromosomes housing our DNA. It does so by detecting structural alterations in cells and tissues captured in images taken of routine medical biopsies, according to findings published March 16, 2026, in Cell Reports Methods.

16 Mar 2026

Innovative platform detects diseases using a single drop of blood

An innovative platform developed by PKU researchers called "cf-EpiTracing" has proved capable of detecting and tracing diseases from as little as 50 μl of human plasma, or roughly a drop of blood.

16 Mar 2026

Using machine learning to identify individuals at risk for intimate partner violence

Researchers at Mass General Brigham have developed a series of artificial intelligence (AI) tools that uses machine learning to identify individuals who may be at risk for intimate partner violence (IPV) using information from their electronic medical records (EMRs).

13 Mar 2026

Imaris 11 transforms image analysis with automated workflows and reproducible research tools

Discover how Imaris 11 streamlines image analysis with automated workflows, reproducibility tools, and powerful batch processing.

From Oxford Instruments - Life Sciences 13 Mar 2026

Blood protein structure changes may enable earlier detection of Alzheimer’s

Advanced proteomics and AI reveal blood protein changes, offering insights into early Alzheimer's detection and differentiation from mild cognitive impairment.

13 Mar 2026

AI model improves fairness and speed in disaster aid delivery

When natural disasters or extreme weather events hit, delivering aid quickly and efficiently to those affected is crucial.

12 Mar 2026

Electrical stimulation restores movement and sensory feedback after severe spinal injury

The effects of spinal cord injuries are complex and multifaceted. People lose not only the ability to control the movement of their limbs, but also the ability to receive sensory feedback from them. Both are critical to generate the coordinated movement involved in walking.

11 Mar 2026

Machine Learning News and Research

Machine learning model predicts liver cancer risk with high accuracy

New algorithm enables precise subtyping of metabolic liver disease

iXCells Biotechnologies joins international collaboration to evaluate chemotherapeutic toxicity in human organoids

Optibrium introduces graphical interface for QuanSA to enhance ligand-based affinity predictions

Navigating the moral landscape of pediatric AI surgery

Palmatine improved fatty liver markers in a preclinical type 2 diabetes study

Webinar introduces advanced bioinformatics tool to interpret mutations in cancer genomes

AI-powered ultrasound analysis identifies high-risk heart failure cases

Machine learning speeds up AMP discovery for treating ulcerative colitis

Socioeconomic gaps shape vulnerability to air pollution mortality in Europe

Researchers use AI to reveal the true scale of COVID-19 mortality in the US

New data hub aims to advance alternatives to animal testing

New data platform transforms prediction and understanding of Alzheimer’s disease

Computational model predicts telomere length from biopsy images

Innovative platform detects diseases using a single drop of blood

Using machine learning to identify individuals at risk for intimate partner violence

Imaris 11 transforms image analysis with automated workflows and reproducible research tools

Blood protein structure changes may enable earlier detection of Alzheimer’s

AI model improves fairness and speed in disaster aid delivery

Electrical stimulation restores movement and sensory feedback after severe spinal injury

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