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.

Superluminal implemented a dynamic protein modeling platform leveraging advanced computational techniques and Google Cloud's compute power. They built a predict-design-test architecture that integrates multiple protein conformations to generate candidate-ready compounds targeting GPCRs. This AI-driven solution streamlines drug discovery workflows by combining deep biology, chemistry expertise, and machine learning to accurately capture protein dynamics.

Teladoc Health uses Microsoft 365 Copilot to transform its telehealth operations by automating routine tasks and boosting efficiency. Copilot acts as a personal assistant, handling note-taking during meetings, finding project information, and proofreading emails. Integrated with Microsoft Power Automate and Power BI, Copilot categorizes and routes client issues, handles tasks, initiates workflows, and synthesizes reports, leading to substantial time savings, faster client service response times, and streamlined onboarding processes.

Bader Sultan and Brothers Company, a Kuwaiti supplier of healthcare and hospital equipment, implemented Microsoft Copilot for Microsoft 365 to enhance employee productivity. Employees use Copilot to craft and review emails, create comparison documents for clients, and respond to customer requests more quickly, allowing them to focus on more important tasks.

Oncoclinicas implemented a comprehensive digital portal and mobile app to automatically scan, extract, and digitize clinical exam data using Azure Cognitive Services’ Computer Vision for OCR and Text Analytics for Health. They integrated backend services including Azure Storage, Functions App, Service Bus, Cosmos DB, and Azure Machine Learning to centralize and structure medical records, deploying the solution over three months with onsite training at 129 care units to streamline clinical workflows.

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

Parexel implemented Microsoft Azure solutions by leveraging AI-powered capabilities within Azure Databricks and Power BI to consolidate and analyze data from over 100 disparate sources into a centralized data lake, eliminating labor-intensive manual reporting. The solution automated data aggregation and standardized data governance, optimizing clinical trial management and accelerating the delivery of actionable insights.

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.

Chi Mei Medical Center in Taiwan implemented AI copilots built with Microsoft's Azure OpenAI Service to assist doctors, nurses, pharmacists, and nutritionists in their daily tasks. The copilots summarize patient information from multiple databases into a single interface, automate report generation, and provide personalized patient education materials. This has reduced the time spent on documentation, allowing staff to see more patients and spend more quality time with them.

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.

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.

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.

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.

Morula Health, a provider of regulatory and clinical medical writing services, uses Microsoft 365 Copilot to enhance productivity. By integrating Copilot into Word and Teams, they automate repetitive tasks like summarizing complex data tables and capturing meeting details. This lets their writers focus on higher-value work, improving efficiency and quality.

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.

Pfizer can now aggregate cybersecurity data sources, cutting analysis times from days to seconds.

Fiserv security operations engineers create detections and playbooks with much less effort, while analysts get answers more quickly.

Mayo Clinic has given thousands of its scientific researchers access to 50 petabytes worth of clinical data through Vertex AI search, accelerating information retrieval across multiple languages.

Seattle Children's hospital is using AI to boost data engineering productivity and accelerate development.

Highmark Health and Freenome join Bristol Myers Squibb to explore how AI can improve efficiency and innovation across care delivery, drug discovery, clinical trial planning, and bringing medicines to market.

Highmark Health and Freenome join Bristol Myers Squibb to explore how AI can improve efficiency and innovation across care delivery, drug discovery, clinical trial planning, and bringing medicines to market.

WellSky is integrating Google Cloud's healthcare and Vertex AI capabilities to reduce the time spent completing documentation outside work hours.