Biomarkers

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A Novel GNN Model ‘PathFormer’ Revolutionizes Highly Accurate Disease Diagnosis and Reproducible Biomarker Identification
ByDeotima Chakraborty February 17, 2024October 22, 2026

When analyzing omics data, regression analysis is an essential tool for identifying biomarkers. For the analysis of graph-structured data, graph neural networks (GNNs) are the most popular deep learning model. Their ability to consistently identify biomarkers across several datasets and their prediction accuracy is, nevertheless, limited. These difficulties arise from the distinct graph structure of…

Read More A Novel GNN Model ‘PathFormer’ Revolutionizes Highly Accurate Disease Diagnosis and Reproducible Biomarker Identification
AI | Bioinformatics | Biomarker Discovery | LLM | News | Paper Summary | Trending

MarkerGeneBERT: Revolutionizing Cell Marker Extraction Utilizing Natural Language Processing
ByAnchal Negi February 10, 2024October 22, 2026

MarkerGeneBERT, a natural language processing (NLP) system to automatically extract cell type markers from single-cell sequencing literature by parsing full text, was recently introduced by Scientists from CapitalBio Technology, China. MarkerGeneBERT compiled markers for 1733 human and 1832 mouse cell types across tissues, achieving 75% precision and 76% recall. This cell marker gene identification method…

Read More MarkerGeneBERT: Revolutionizing Cell Marker Extraction Utilizing Natural Language Processing
AI | Biomedical Engineering | Disease Diagnosis | Health | Medical Informatics | News | Trending

A New Era in Diabetes Assessment: Skin Scanner and AI Score Disease Severity
ByDr. Tamanna Anwar December 13, 2023October 22, 2026

A new non-invasive imaging technique called raster-scan optoacoustic mesoscopy (RSOM) shows promise for detecting diabetes progression and severity by visualizing microscopic changes in the skin’s blood vessels. Recently published research from the Technical University of Munich (TUM) and Helmholtz Munich reveals RSOM’s ability to create detailed three-dimensional maps of the skin’s microvasculature down to capillary…

Read More A New Era in Diabetes Assessment: Skin Scanner and AI Score Disease Severity
Bioinformatics | COVID-19 | Disease Diagnosis | Infectious Diseases | News | Transcriptomics | Trending

Transforming Infection Diagnosis: Saliva-Based mRNA Biomarker for Accurate Detection
ByDr. Tamanna Anwar November 26, 2023November 26, 2023

Since the COVID pandemic began, the world has been reminded of the poor reliability of elevated body temperature for detecting infections. Even when infected with SARS-CoV-2, many patients exhibit no fever. But while obvious symptoms can be absent, infections trigger host gene responses at sites harboring pathogens and in distant cells receiving molecular signals. Leveraging…

Read More Transforming Infection Diagnosis: Saliva-Based mRNA Biomarker for Accurate Detection
Biomedical Engineering | Featured | Health | News | Trending

Scientists Device a Biosensor Integrated ‘Smart Necklace’ to Track Health Status Through Sweat
ByDr. Tamanna Anwar July 24, 2022December 28, 2022

A biosensor integrated smart necklace has been successfully tested by scientists from the Ohio State University and the University of Wisconsin, Madison, that could one day use the chemical biomarkers in sweat to identify changes in a person’s health. A team presented a wireless, battery-free biochemical sensor that could detect the blood sugar or glucose…

Read More Scientists Device a Biosensor Integrated ‘Smart Necklace’ to Track Health Status Through Sweat
Biotech | Chronic Diseases | Health | News | Trending

Researchers Identify Blood Biomarker that can Predict Onset of Crohn’s Disease Years Before Diagnosis
ByDr. Tamanna Anwar May 25, 2022June 18, 2022

A team led by the University of Toronto researcher discovered that a blood antibody can predict severe Crohn’s disease up to seven years before the disease is diagnosed. Crohn’s disease is a chronic inflammatory bowel illness for which simple and effective biomarkers are missing prior to diagnosis. It roughly affects 0.3 percent of the global…

Read More Researchers Identify Blood Biomarker that can Predict Onset of Crohn’s Disease Years Before Diagnosis
Algorithm | Bioinformatics | Cancer Research | Machine Learning | News | Paper Summary | RNA-Seq | Trending

Scientists Discover a Sensitive Blood Test to Determine if a Pre-Cancerous Condition is Progressing to Malignancy
ByTanveen Kaur April 29, 2022November 9, 2022

A test developed by OHSU researchers could help doctors treat cancer earlier when it’s more likely to be cured. Scientists discover plasma cell-free RNA profiling, which distinguishes cancers from premalignant conditions in solid and hematological malignancies. They developed a blood test to determine if a pre-cancerous condition is progressing to malignancy, potentially allowing therapy early…

Read More Scientists Discover a Sensitive Blood Test to Determine if a Pre-Cancerous Condition is Progressing to Malignancy
Bioinformatics | Cancer Research | Featured | News | Tools | Trending

Glyco-Decipher – A New Glycoproteomics Analysis Tool for Sensitive Deciphering of Protein Glycosylation
ByDr. Tamanna Anwar April 11, 2022January 30, 2024

A team of scientists led by Prof. YE Mingliang from the Dalian Institute of Chemical Physics (DICP) of the Chinese Academy of Sciences (CAS) has recently created Glyco-Decipher, a new glycoproteomics software tool for the sensitive interpretation of N-glycopeptide mass spectra with high confidence. Glyco-Decipher is a promising method for enhancing glycoproteomics analysis in biological…

Read More Glyco-Decipher – A New Glycoproteomics Analysis Tool for Sensitive Deciphering of Protein Glycosylation
Bioinformatics | Cancer Research | Drug Discovery | Machine Learning | News | OMICS | Sequencing

Scientists Applied Machine Learning to Predict Therapeutic Response in Gastric Cancer
ByDr. Tamanna Anwar February 24, 2022October 22, 2026

The researchers at the Mayo Clinic Cancer Center in Florida, in a recent study published in Nature Communications, validate the use of genetic sequencing to predict whether patients with gastric cancer would benefit from chemotherapy or immunotherapy. Gastric cancer is one of the significant reasons for cancer-related deaths worldwide. Most patients with gastric cancer receive…

Read More Scientists Applied Machine Learning to Predict Therapeutic Response in Gastric Cancer

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Biomarkers

Scientists Applied Machine Learning to Predict Therapeutic Response in Gastric Cancer

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