Biomarker Discovery

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Modeling the Perfect Diagnosis with Machine Learning in Ovarian Cancer
ByNeermita Bhattacharya July 1, 2024October 22, 2026

Genes are the basic units of heredity, but they only come to life when translated into proteins. The study of the proteins found in cells and tissues is called proteomics and is largely dependent on Mass Spectroscopy (MS) techniques. Such MS-based proteomics datasets are on the rise, requiring advanced tools to analyze them and uncover…

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AI | Bioinformatics | Biomarker Discovery | Cancer | Disease Diagnosis | News | Paper Summary | Trending

Unleashing the Power of Foundation Models for Cancer Imaging Biomarker Discovery
ByAnshika Gupta May 15, 2024October 22, 2026

Despite the immense hurdles posed by cancer, technological developments, particularly in medical imaging and biomarker identification, provide a ray of hope. Foundation models have revolutionized cancer imaging biomarkers, delivering unprecedented accuracy and insights vital to early identification, evaluation, and therapy. This research used a deep convolutional encoder as its foundation model, first pre-trained by comparing…

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AI | Bioinformatics | Biomarker Discovery | Disease Diagnosis | Genomics | Machine Learning | News | OMICS | Tools | Trending

IntelliGenes Unveiled: A New Paradigm for AI-Driven Biomarker Discovery from Multi-genomic Data
ByDr. Tamanna Anwar January 27, 2024October 22, 2026

IntelliGenes is a new machine learning pipeline developed by researchers at The State University of New Jersey that integrates multi-genomics, clinical, and demographic data to discover biomarkers for disease prediction with high accuracy. It implements Intelligent Gene (I-Gene) scoring to assess the significance of biomarkers and create individual profiles to understand disease prognosis. IntelliGenes is…

Read More IntelliGenes Unveiled: A New Paradigm for AI-Driven Biomarker Discovery from Multi-genomic Data
AI | Bioinformatics | Cancer Research | Deep Learning | Health | News | Paper Summary | Trending

Scientists use Multimodal Deep Learning for Pan-Cancer Integrative Histology-Genomic Analysis
ByTanveen Kaur August 14, 2022December 28, 2022

Scientists present an interpretable, loosely guided, multimodal deep learning strategy for cancer prognosis, which also investigates the use of multimodal interpretability to describe how WSI and molecular characteristics affect risk. The objective prognostic models that can be created from histology pictures have shown promise in the quickly evolving field of computational pathology. Most prognostic models,…

Read More Scientists use Multimodal Deep Learning for Pan-Cancer Integrative Histology-Genomic Analysis

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