Large language models (LLMs) can respond to free-text queries without being specifically
trained in the task in question, causing excitement and concern about their use in healthcare …

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 …

Genomic (DNA) sequences encode an enormous amount of information for gene regulation
and protein synthesis. Similar to natural language models, researchers have proposed …

The emergence of Large Language Models (LLMs) in combination with easy-to-use
interfaces such as ChatGPT, Bing Chat, and Google's Bard represent both a Herculean task …

Attention-based models trained on protein sequences have demonstrated incredible
success at classification and generation tasks relevant for artificial-intelligence-driven …

Artificial Intelligence (AI) has revolutionized various domains, including education and
research. Natural language processing (NLP) techniques and large language models …

The Janus Effect of Generative AI: Charting the Path for Responsible Conduct of Scholarly
Activities in Information Systems | Information Systems Research INFORMS.org Certified …

Despite advances in machine learning-based protein structure prediction, we are still far
from fully understanding how proteins fold into their native conformation. The conventional …

Recent advances in microbial ecology and synthetic biology have the potential to mitigate
damage caused by anthropogenic activities that are deleteriously impacting Earth's soil …

Natural proteins are highly optimized for function but are often difficult to produce at a scale
suitable for biotechnological applications due to poor expression in heterologous systems …