Promega uses ChatGPT extensively across departments to streamline processes in manufacturing, sales, and marketing. ChatGPT assists in forecasting equipment replacement timelines, gathering protein specifications for custom assays, and automating customer requests in quality assurance workflows. Custom GPTs in sales and marketing also enhance prospecting and email campaign efficiency.

Inteleos uses Perplexity Enterprise Pro to assist their team in developing quiz questions for medical professionals, improving efficiency and maintaining security and accuracy. The tool helps automate research and drafting, allowing subject matter experts to create explanatory paragraphs and other content more quickly.

Neuromnia uses Meta's Llama 3.1 to develop Nia, an AI assistant for automating ABA therapy tasks.

Healthify uses OpenAI's Realtime API to power Ria, an AI coach that engages in natural conversations to provide nutrition and fitness advice. The AI can escalate to human dietitians when personalized support is needed.

Bennie Health uses Vertex AI to power its innovative employee health benefits platform, providing actionable insights and streamlining data management in order to enhance efficiency and decision-making for employees and HR teams.

Click Therapeutics develops prescription digital therapeutics designed to treat disease. Its Clinical Operations team leverages Gemini for Google Workspace to transform complex operations data into actionable insights, so they can quickly pinpoint ways to streamline the patient experience in clinical trials.

Hemominas, Brazil's largest blood bank, developed a chatbot for donor search and scheduling.

Certify OS is automating credentialing, licensing, and monitoring of medical providers for healthcare networks, relieving the burden of time-consuming and often siloed information.

CostPlus Drugs (by Mark Cuban) estimates employees save 5 hours per week just with Gemini’s AI capabilities for Gmail. They also use it for AI-generated transcriptions and auto-formatting of lab results and FDA compliance documents.

Elanco, a leader in animal health, has implemented a gen AI framework supporting critical business processes, such as Pharmacovigilance, Customer Orders, and Clinical Insights.

NeuroPace, a medical device company, built a solution to quickly identify effective epilepsy treatment options best suited to different patients.

Mendel has built a clinical AI system designed to consolidate the longstanding silos in medical data into a knowledge base of holistic patient journeys, boosting patient recruitment for new therapies and clinical trials.

Genmab uses ChatGPT Enterprise to assist employees with tasks such as drafting documents, summarizing scientific literature, and performing complex data analytics. They also developed custom GPTs for clinical trial documentation and translation tasks.

Nanome launched MARA, an AI copilot to aid scientists in biopharma R&D by orchestrating workflows, executing routine cheminformatics tasks, and offering informative responses to scientific queries.

CopyAI leverages Meta Llama on Lamini’s LLM platform to accelerate content generation for go-to-market efforts. By fine-tuning a high-precision classifier based on Llama, CopyAI automates content categorization for a Fortune 100 client.

Saama's AI Research Lab has developed Llama3-OpenBioLLM-70B & 8B, the most openly available medical-domain LLMs to date.

Roche, one of the world's largest biotech companies, uses AI Classification in Google Drive to automate the labeling and classification of millions of files. By implementing AI-powered data labeling, Roche enhances data security, standardizes the labeling process, reduces manual workload, and empowers security teams to implement more effective controls.

PROMPTS program leverages Meta Llama and machine learning to support maternal health in Africa by efficiently triaging incoming questions, identifying urgent cases, and providing critical support to expecting mothers in Kenya. Plans to enhance capabilities to reach 1.3 million women across Sub-Saharan Africa.

Envision, an assistive technology company, leverages Meta's Llama 3.1 to empower individuals who are blind or have low vision. By integrating Llama's language processing and computer vision, Envision's products, including a mobile app and a prototype on Meta’s Project Aria glasses, articulate visual information into speech. This enables users to access everyday information independently, enhancing their autonomy and quality of life.

Color Health uses GPT-4o to create a copilot application that integrates patient data with clinical knowledge to generate personalized cancer screening and treatment plans. It helps identify missing diagnostics and streamline documentation, reducing time to treatment by allowing clinicians to identify gaps in patient workups 4x faster.

10BedICU uses OpenAI’s API to enhance India’s critical care infrastructure. It developed tools like CARE Scribe, which transcribes doctor-patient interactions into EMR entries in multiple languages, reducing data entry time by over 50%, CARE Device Connect, which integrates data from older hospital monitors, and CARE Discharge Summary, which automates patient record summaries, improving healthcare delivery in underserved communities.

BenevolentAI, a UK-based TechBio company, leverages Claude to speed up data generation and annotation by orders of magnitude, while maintaining high-quality results. This supports the company's efforts in drug discovery and research, significantly enhancing their data processing capabilities.

Moderna uses ChatGPT Enterprise across the organization, empowering employees to create 750 custom GPTs in just two months. These GPTs, including Dose ID (for clinical data analysis), Contract Companion GPT (for contract summaries), and Policy Bot GPT (for internal policy queries), have significantly improved efficiency, accuracy, and decision-making without compromising privacy. The AI deployment is transforming operations in legal, research, clinical trials, and communications, enabling employees to focus on higher-level tasks.

Mendel has developed Hypercube, an AI platform that integrates Meta Llama 2-based LLM for natural language processing on clinical data. Hypercube uses a hypergraph semantic layer and the proprietary Eloquent language to enable querying and retrieving clinical information for applications like trial matching and patient cohorting. Llama 2 assists in converting natural language queries into Eloquent, bridging the gap for users unfamiliar with the query language.

Mayo Clinic uses Meta's Llama 2 to develop RadOnc-GPT, a specialized large language model for radiation oncology. RadOnc-GPT is fine-tuned on patient records and deployed locally to ensure data security. It supports a chatbot that answers routine post-radiotherapy questions, reducing nurses’ and clinicians’ workloads and improving treatment decision-making speed, accuracy, and quality. Future developments include predicting patient outcomes and expanding clinical tasks, enhancing operational efficiency and patient care.

Meditron, a suite of open-source large multimodal foundation models tailored for the medical field, leverages Meta's Llama 2 and 3 to assist with clinical decision-making and diagnosis in low-resource settings. Developed by researchers at EPFL and Yale School of Medicine in collaboration with humanitarian organizations like the International Committee of the Red Cross, Meditron provides evidence-based, contextually aware recommendations and diagnostic support. It automates tasks such as generating treatment regimens, determining radiation modalities, and assigning diagnostic codes, thereby enhancing clinical efficiency and improving patient outcomes. With over 30,000 downloads and top performance on medical benchmarks, Meditron democratizes access to advanced medical AI tools, enabling equitable healthcare innovation in underserved regions.

Health editorial teams at Thrive Global are creating validated behavior change microsteps based on the latest peer-reviewed science with Perplexity.

Paradigm uses OpenAI’s GPT-4 API to evaluate clinical trial data sets, significantly improving the speed, accuracy, and cost of patient screening. By replacing traditional models with GPT-4, Paradigm achieved a 90% reduction in clinician time spent on model validation and a 10% increase in accuracy. This allows faster, more equitable access to clinical trials, especially for underserved patients with unstructured medical data.

Bayer is building a radiology platform that will assist radiologists with data analysis, intelligent search, and to create documents that meet healthcare requirements needed for regulatory approval. The bioscience company is also harnessing BigQuery and Vertex AI to develop additional digital medical solutions and drugs more efficiently.

Bristol Myers Squibb is transforming its document processes for clinical trials using Vertex AI and Google Workspace. Now, documentation that took scientists weeks now gets to a first draft in minutes.