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Insilico Medicine announces preclinical drug discovery benchmarks from 2021 to 2024

Insilico Medicine ( "Insilico") , a clinical stage generative artificial intelligence (AI)-driven biotechnology company today announced a set of preclinical drug discovery benchmarks from the 22 developmental candidate nominations achieved by its platform from 2021 to 2024.

11 Feb 2025

AI approach reveals possible fusion of rare diseases in COVID-19 origins

Despite extensive research, the origins of COVID-19 remain elusive. In a new study published in the KeAi journal Advances in Biomarker Sciences and Technology (ABST), an AI-driven approach was adopted to examine DNA methylation patterns at 865,859 CpG sites in blood samples from early COVID-19 patients.

10 Feb 2025

New deep learning method could revolutionize heart health monitoring

Coronary artery disease is the leading cause of death globally. One of the most common tools used to diagnose and monitor heart disease, myocardial perfusion imaging (MPI) by single photon emission computed tomography (SPECT), uses a radioactive tracer and special camera to provide detailed images of blood flow to the heart, helping doctors detect coronary artery disease and other cardiovascular abnormalities.

10 Feb 2025

AI-driven ECG age prediction transforms early disease detection

AI-enabled ECG biological age (ECG-BA) improves disease risk classification beyond chronological age, enhancing early detection of aging-related conditions like heart disease, Alzheimer’s, and cancer.

9 Feb 2025

AI-based technology accelerates discovery of new tuberculosis drug candidates

Tuberculosis is a serious global health threat that infected more than 10 million people in 2022. Spread through the air and into the lungs, the pathogen that causes "TB" can lead to chronic cough, chest pains, fatigue, fever and weight loss.

7 Feb 2025

New NSF award supports study of arrhythmias in diseased hearts

Cardiovascular disease affects nearly half of the adults in the United States, posing a significant public health challenge.

4 Feb 2025

New method revolutionizes body composition analysis using 3D imaging and deep learning

A recent study introduces an innovative method for analyzing body composition using advanced 3D imaging and deep learning techniques.

4 Feb 2025

New AI model predicts gene expression across human cell types

A team of investigators from Dana-Farber Cancer Institute, The Broad Institute of MIT and Harvard, Google, and Columbia University have created an artificial intelligence model that can predict which genes are expressed in any type of human cell.

31 Jan 2025

New AI tool promises faster vaccine development by predicting T cell epitopes

An exciting collaboration between the Ragon Institute and the Jameel Clinic at MIT has achieved a significant milestone in leveraging artificial intelligence (AI) to aid the development of T cell vaccine candidates.

29 Jan 2025

Revvity ignites scientific breakthroughs at SLAS2025

Revvity, Inc. is set to unveil its groundbreaking new Phenologic.AI™ software at SLAS2025 in San Diego, January 27-29. Designed to redefine cellular imaging workflows for Revvity’s Harmony™ and Signals Image Artist™ software packages, the Phenologic.AI software leverages pre-trained deep-learning models to analyze brightfield images, providing an additional multiplexing channel and streamlined workflows for live cell analysis.

From Revvity 24 Jan 2025

Exploring the role of confocal-based high-content imaging in advancing core facilities

In this interview, NewsMedical speaks with Esther Kieserman and Arvonn Tully from Yokogawa Life Science about how confocal-based high-content imaging is advancing core facility research and improving data reliability.

From Yokogawa Life Science 20 Jan 2025

COMET model enhances disease prediction with deep learning

Researchers developed COMET, a deep learning framework that leverages electronic health records and omics data to improve predictive modeling and uncover biological insights.

19 Jan 2025

AI deciphers intracellular signals from extracellular recordings in heart cells

A team of researchers led by the University of California San Diego and Stanford University has developed a noninvasive method to monitor the electrical activity inside heart muscle cells from the outside, avoiding the need to physically penetrate the cells.

16 Jan 2025

Study reveals AI’s critical flaw in medical decision-making

Large language models excel at answering medical questions but fail to recognize their knowledge gaps, posing risks in clinical applications.

15 Jan 2025

AI could revolutionize cervical cancer screening and detection

Cervical cancer remains a major health threat for women globally, with the highest incidence in developing nations.

10 Jan 2025

Innovative AI approach enhances imaging in thick biological samples

Depth degradation is a problem biologists know all too well: The deeper you look into a sample, the fuzzier the image becomes.

7 Jan 2025

New AI techniques improve tumor detection in PET and CT scans

Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors.

2 Jan 2025

AI model enhances early detection of skin cancer with high accuracy

Skin cancer remains the most common form of cancer worldwide, often presenting as benign skin conditions that are difficult to differentiate, even for experienced dermatologists.

20 Dec 2024

Amira Software Version 2024.2: Enhancing ultrastructure analysis

Amira Software Version 2024.2 offers groundbreaking AI enhancements and advanced tools, transforming cellular ultrastructure analysis and research workflows.

From Thermo Fisher Scientific - Software 20 Dec 2024

Advancements in reinforcement learning for personalized patient care

Reinforcement Learning, an artificial intelligence approach, has the potential to guide physicians in designing sequential treatment strategies for better patient outcomes but requires significant improvements before it can be applied in clinical settings, finds a new study by Weill Cornell Medicine and Rockefeller University researchers.

17 Dec 2024