LLMs

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LLMs in Biomedicine: Navigating the Future with the BioChatter Open-Source Solution
ByDr. Tamanna Anwar February 25, 2024October 22, 2026

BioChatter, a new open-source framework developed by Heidelberg University researchers and collaborators, aims to harness the power of large language models (LLMs) for biomedical research while ensuring responsible use. By integrating various functionalities like knowledge retrieval and model chaining, BioChatter simplifies LLM interaction for researchers, making it accessible and inclusive. It also emphasizes user-friendliness and…

Read More LLMs in Biomedicine: Navigating the Future with the BioChatter Open-Source Solution
AI | Bioinformatics | Biotech | Genetic Engineering | LLM | News | Trending

Unlocking the Potential of RNA Design with Generative AI using GenerRNA
ByDr. Tamanna Anwar February 14, 2024October 22, 2026

A team of researchers from the University of Tokyo developed GenerRNA, the first large-scale pre-trained AI model for automated RNA design that does not require prior structural knowledge. Inspired by advances in protein language models, GenerRNA can generate a variety of RNAs for applications such as vaccines, therapeutics, and biotechnology. This model can generate new…

Read More Unlocking the Potential of RNA Design with Generative AI using GenerRNA
AI | Big Data | Bioinformatics | LLM | News | Trending

How Well Can LLMs Really Perform Bioinformatics Tasks? BioLLMBench Has Answers
ByDr. Tamanna Anwar December 26, 2023October 22, 2026

Artificial intelligence is transforming industries across the board, and the life sciences are no exception. A new study led by researchers at Anthropic, an AI safety startup based in San Francisco, published in Nature Biotechnology, demonstrates the immense potential of large language models (LLMs) like ChatGPT to serve as AI assistants for bioinformatics research. The paper…

Read More How Well Can LLMs Really Perform Bioinformatics Tasks? BioLLMBench Has Answers
AI | Chemoinformatics | Drug Discovery | LLM | News | Trending

A GPT-driven Robot Chemist Designs, Plans, and Performs Complex Experiments – All by Itself!
ByDr. Tamanna Anwar December 21, 2023October 22, 2026

Scientists at Carnegie Mellon University have unveiled a breakthrough artificial intelligence system called Coscientist that can independently design and execute complex chemistry experiments at the touch of a button. The system aims to accelerate discoveries across scientific domains by leveraging the raw reasoning power of models like GPT-4. Coscientist combines natural language processing prowess with tools enabling…

Read More A GPT-driven Robot Chemist Designs, Plans, and Performs Complex Experiments – All by Itself!
AI | Algorithm | Bioinformatics | News | Paper Summary | Precision Medicine | RNA-Seq | Trending

Atomic AI’s ATOM-1: Leveraging Chemical Mapping Data to Optimize RNA Therapeutics
BySonal Keni December 20, 2023January 4, 2024

New avenues are being paved in the world of healthcare every day. One of the most promising new developments is the creation of RNA-based medications. Demonstrating great therapeutic potential, this new class of therapies offers novel ways of curing diseases. However, their full potential hasn’t yet been unlocked, largely due to a lack of understanding…

Read More Atomic AI’s ATOM-1: Leveraging Chemical Mapping Data to Optimize RNA Therapeutics
AI | Big Data | Bioinformatics | Genomics | LLM | News | OMICS | Paper Summary | Trending

Genome LLMs: Revolutionizing Genomics with Transformer-based Large Language Models
BySwasti Tyagi November 29, 2023November 29, 2023

Deep learning techniques have had a significant influence on genomics and the sequencing techniques employed in the field due to the exponential advancements in artificial intelligence (AI) and machine learning (ML) during the past ten years. The review article by a team led by researchers from the University of Toronto elucidates the advantages and drawbacks…

Read More Genome LLMs: Revolutionizing Genomics with Transformer-based Large Language Models
AI | Bioinformatics | Drug Discovery | LLM | Machine Learning | News | Paper Summary | Structural Biology | Trending

The Rise of Scientific Language Models: Revolutionizing Molecular Discovery
BySwasti Tyagi October 6, 2023October 22, 2026

In a groundbreaking collaboration spanning IBM Research in Switzerland and the USA, scientists have illuminated the pivotal role of language models (LMs) in molecular discovery. It has been determined that transformer-based architectures are the most popular forms of language models, enabling their widespread use in various domains of science. Due to this, the term ‘scientific…

Read More The Rise of Scientific Language Models: Revolutionizing Molecular Discovery
AI | Bioinformatics | Drug Discovery | LLM | News | Paper Summary | Tools | Trending

DrugChat: A ChatGPT-like System for Drug Compound Discovery
BySwasti Tyagi September 24, 2023January 23, 2024

A team of researchers at the University of California, San Diego, came together to develop a chatbot specifically catered to drug discovery called DrugChat. It is similar to ChatGPT on the basis that users can give question prompts to the model on any drug compound under study after uploading the drug’s molecular graph and can…

Read More DrugChat: A ChatGPT-like System for Drug Compound Discovery
AI | Big Data | Bioinformatics | Data Science | Deep Learning | Genomics | Health | Neural Network | News | Trending

Large Language Models Offering Solutions to Tackle Biological Complexity
ByNeegar Naushaba Iqbal September 6, 2023January 1, 2024

Large Language Models (LLMs) have emerged as dynamic tools with the ability to transform the landscape of biological research in a world driven by data and technology. These advanced AI models, including well-known names like BERT and GPT, are not confined to linguistics but have found their way into the complex realm of biology. In…

Read More Large Language Models Offering Solutions to Tackle Biological Complexity
AI | Bioengineering | Bioinformatics | Chemoinformatics | News | Paper Summary | Proteomics | Trending

AI’s Quantum Leap into Bioengineering: Unleashing Language Models in Atom-by-Atom Protein Generation
ByAditi Sarkar August 24, 2023August 24, 2023

The University of Toronto researchers have explored the potential of Chemical Language Models (CLMs) to thrive as Biological Learning Models. In contrast to popular Protein Language Models that learn from protein sequences, CLMs can learn atomic-level representations of proteins and also learn protein backbones and natural amino acid structures, as well as the primary sequence…

Read More AI’s Quantum Leap into Bioengineering: Unleashing Language Models in Atom-by-Atom Protein Generation
AI | Bioinformatics | Genomics | LLM | News | Paper Summary | Tools | Trending

Answering Genomics Questions with Precision: GeneGPT Bridges the Gap Between LLMs and Biomedical Information
ByAditi Sarkar August 14, 2023February 26, 2024

Scientists from the National Library of Medicine (NLM), National Institutes of Health (NIH), and University of Maryland, College Park, US, have presented GeneGPT, a Large Language Model (LLM) that is trained to use the Web APIs of the National Center for Biotechnology Information (NCBI) for generating answers to genomic questions. This pioneering attempt to intercalate…

Read More Answering Genomics Questions with Precision: GeneGPT Bridges the Gap Between LLMs and Biomedical Information
AI | Bioinformatics | News | NGS | OMICS | Paper Summary | RNA-Seq | Sequencing | Trending

Meet scGPT: A Cutting-edge Foundation Model for Single-cell Multiomics using Generative AI
ByBanhita Maitra May 4, 2023November 23, 2023

Scientists from the University of Toronto, Canada, have developed a foundation model for single-cell analysis, scGPT, by generative pre-training on over ten million cells. The generative pre-trained transformer for single-cell analysis is capable of capturing meaningful and crucial biological insights at the gene and cellular levels. The foundation model can be finetuned for numerous downstream…

Read More Meet scGPT: A Cutting-edge Foundation Model for Single-cell Multiomics using Generative AI

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