[{"data":1,"prerenderedAt":27},["ShallowReactive",2],{"nr-en-openai-gpt-rosalind-biological-research-api":3},{"slug":4,"title":5,"dek":6,"date":7,"time":8,"publishedAt":9,"updated":10,"updatedAt":10,"dateFmt":11,"updatedFmt":10,"kind":12,"tier":13,"author":14,"authorName":15,"topics":16,"tracker":10,"trackerLabel":10,"headlineStat":10,"image":22,"ogImage":23,"imageAlt":5,"csv":10,"minutes":24,"words":25,"html":26},"openai-gpt-rosalind-biological-research-api","OpenAI Launches GPT-Rosalind for Biological Research","OpenAI has announced GPT-Rosalind, a new AI model optimized for biological research. The model will be available via the API and in Codex.","2026-09-12","12:51","2026-09-12T12:51:00+02:00","","September 12, 2026","news","standard","ideal-syka","Ideal Syka",[17,18,19,20,21],"OpenAI","GPT models","Biological AI","API","Research","\u002Fnewsroom\u002Fimg\u002Fopenai-gpt-rosalind-biological-research-api.webp","\u002Fog-nr\u002Fopenai-gpt-rosalind-biological-research-api.en.png",1,148,"\u003Cp>OpenAI has introduced \u003Cstrong>GPT-Rosalind\u003C\u002Fstrong>, an AI model specialized for biological research. According to the company, the system helps researchers connect findings across scientific papers and experimental results, weigh evidence for biological targets, and work through analyses to plan next testing steps.\u003C\u002Fp>\n\u003Ch2>Features and Availability\u003C\u002Fh2>\n\u003Cp>The model is being made available through \u003Cstrong>OpenAI's API\u003C\u002Fstrong> and \u003Cstrong>Codex\u003C\u002Fstrong>, targeting developers and research institutions working on biological questions with AI support.\u003C\u002Fp>\n\u003Ch2>Quick Facts\u003C\u002Fh2>\n\u003Cul>\n\u003Cli>\u003Cstrong>Model name:\u003C\u002Fstrong> GPT-Rosalind\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Specialization:\u003C\u002Fstrong> Biological research and data analysis\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Availability:\u003C\u002Fstrong> OpenAI API and Codex\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Core function:\u003C\u002Fstrong> Connecting research findings, evidence assessment, and experimental planning\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp>For German biotech and pharmaceutical research organizations, this model could become relevant for accelerating literature analysis and experimental design—provided costs and data protection requirements align with use cases.\u003C\u002Fp>\n\u003Ch2>Sources\u003C\u002Fh2>\n\u003Cul>\n\u003Cli>\u003Ca href=\"https:\u002F\u002Fbsky.app\u002Fprofile\u002Fopenaibot.bsky.social\u002Fpost\u002F3mvbg57umci25\">OpenAI {bot}\u003C\u002Fa>\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp>\u003Cem>Editorially owned by \u003Ca href=\"\u002Fen\u002Fautor\u002Fideal-syka\">Ideal Syka\u003C\u002Fa>. Sources and method: \u003Ca href=\"\u002Fen\u002Fredaktion\">Newsroom & method\u003C\u002Fa>. Tips and corrections: \u003Ca href=\"mailto:ai@i6eal.de\">ai@i6eal.de\u003C\u002Fa>.\u003C\u002Fem>\u003C\u002Fp>\n",1789210682195]