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Foundation models for generalist medical artificial intelligence
The exceptionally rapid development of highly flexible, reusable artificial intelligence (AI)
models is likely to usher in newfound capabilities in medicine. We propose a new paradigm …
models is likely to usher in newfound capabilities in medicine. We propose a new paradigm …
Challenges and applications of large language models
Large Language Models (LLMs) went from non-existent to ubiquitous in the machine
learning discourse within a few years. Due to the fast pace of the field, it is difficult to identify …
learning discourse within a few years. Due to the fast pace of the field, it is difficult to identify …
Hyenadna: Long-range genomic sequence modeling at single nucleotide resolution
Genomic (DNA) sequences encode an enormous amount of information for gene regulation
and protein synthesis. Similar to natural language models, researchers have proposed …
and protein synthesis. Similar to natural language models, researchers have proposed …
Nucleotide Transformer: building and evaluating robust foundation models for human genomics
The prediction of molecular phenotypes from DNA sequences remains a longstanding
challenge in genomics, often driven by limited annotated data and the inability to transfer …
challenge in genomics, often driven by limited annotated data and the inability to transfer …
Sequence modeling and design from molecular to genome scale with Evo
The genome is a sequence that encodes the DNA, RNA, and proteins that orchestrate an
organism's function. We present Evo, a long-context genomic foundation model with a …
organism's function. We present Evo, a long-context genomic foundation model with a …
Opportunities and challenges for machine learning-assisted enzyme engineering
Enzymes can be engineered at the level of their amino acid sequences to optimize key
properties such as expression, stability, substrate range, and catalytic efficiency─ or even to …
properties such as expression, stability, substrate range, and catalytic efficiency─ or even to …
Scientific large language models: A survey on biological & chemical domains
Large Language Models (LLMs) have emerged as a transformative power in enhancing
natural language comprehension, representing a significant stride toward artificial general …
natural language comprehension, representing a significant stride toward artificial general …
ChatGPT, GPT-4, and other large language models: the next revolution for clinical microbiology?
Abstract ChatGPT, GPT-4, and Bard are highly advanced natural language process–based
computer programs (chatbots) that simulate and process human conversation in written or …
computer programs (chatbots) that simulate and process human conversation in written or …
State-specific protein–ligand complex structure prediction with a multiscale deep generative model
The binding complexes formed by proteins and small molecule ligands are ubiquitous and
critical to life. Despite recent advancements in protein structure prediction, existing …
critical to life. Despite recent advancements in protein structure prediction, existing …
A survey of techniques for optimizing transformer inference
Recent years have seen a phenomenal rise in the performance and applications of
transformer neural networks. The family of transformer networks, including Bidirectional …
transformer neural networks. The family of transformer networks, including Bidirectional …