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AI | Bioinformatics | Cell | Genomics | LLM | News | Paper Summary | Trending

Unlocking Cell Biology with AI: How Large Language Models Comprehend the Complexity of Genes and Cells
ByAnchal Negi April 14, 2024October 22, 2026

Picture a world where computers can not only translate languages but also decipher biology’s convoluted language. This is the exciting frontier of Large Language Models (LLMs) that could transform our knowledge of genes and cells, which are the foundation of all life forms. Researchers from the Center, Chinese Academy of Sciences, China, explore this intriguing…

Read More Unlocking Cell Biology with AI: How Large Language Models Comprehend the Complexity of Genes and Cells
AI | Bioinformatics | Deep Learning | News | Paper Summary | RNA-Seq | Tools | Transcriptomics | Trending

Stanford’s GEARS: An Innovative Approach to Predicting Transcriptional Outcomes of Multigene Perturbation
ByNeegar Naushaba Iqbal August 23, 2023August 23, 2023

Understanding cellular responses to genetic changes holds vital importance in various biomedical contexts, such as uncovering cancer-related genetic interactions and advancing regenerative medicine. However, the vast number of potential multigene alterations poses a challenge for practical experimentation. In this regard, a novel method called the graph-enhanced gene activation and repression simulator (GEARS) has been introduced…

Read More Stanford’s GEARS: An Innovative Approach to Predicting Transcriptional Outcomes of Multigene Perturbation
AI | Bioinformatics | Cancer Research | Deep Learning | Machine Learning | News | Paper Summary | Trending

Scientists Analyze the Promising Role of Prostate Cancer’s New Molecular Biomarkers: From Coding and Non-Coding Genes to Artificial Intelligence Techniques
ByTanveen Kaur April 20, 2022November 9, 2022

The scientists from Unidad de Investigación Biomédica en Cáncer, México, looked at numerous facets of prostate cancer, including new molecular markers linked to diagnosis, prognosis, therapy prediction, and how bioinformatics tools like machine learning and deep learning can help in the clinic. The findings are expected to improve prostate cancer patient clinical care by applying…

Read More Scientists Analyze the Promising Role of Prostate Cancer’s New Molecular Biomarkers: From Coding and Non-Coding Genes to Artificial Intelligence Techniques

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