Pharma AI Tracker

A manufacturing digital transformation program using AI, digital twins and big-data analytics across Takeda plants, including cloud anomaly detection to prevent equipment failures.

Amgen aims for predictive models and digital twins across its manufacturing network; process-parameter monitoring had been shown only in proofs of concept at the time.

Teva's chief medical officer says Teva is using AI for digital-biomarker projects that include a facial-recognition tool for tardive dyskinesia diagnosis (extracting ~500 facial landmarks), an automated speech-based tool relating voice parameters to the PANSS scale, and wearable movement sensors correlated with clinical outcomes in multiple system atrophy.

The same Teva article says AI technology can also be used to select clinical trial sites by combining internal and external data to predict site performance.

The same article says it is also possible to run clinical interviews through an avatar operated by AI, with virtual humans and multimodal interaction for assessment.

Daiichi Sankyo describes DS-GAI as its in-house generative AI system, with chat responses based on files and internal data and with image generation. The July 31, 2024 story says more than half of employees in Japan have experienced it and that the average number of daily users is already over 600.

Takeda's in-house generative AI assistant for summarizing, drafting and analysis. It only sees data that users put into their prompts.

A research alliance using nference machine-learning models on de-identified health records to find IBD patients who could benefit from advanced therapies.

Partners: nference

In its account of operations at Dahej, Torrent's 2023-24 integrated report says that, with an eye on the future, the company is integrating AI, ML and IoT to drive higher automation, optimisation and decision making, setting the stage for Pharma 5.0.

Amgen was an early Microsoft Copilot adopter and expanded access from a small pilot group to about 20,000 employees.

Partners: Microsoft

Amgen installed an NVIDIA supercomputer called Freyja at its deCODE genetics subsidiary to train AI models on its very large store of de-identified human data for research.

Partners: NVIDIA

A custom GPT that uses ChatGPT Enterprise's data-analysis features to help review clinical data for dose selection.

Partners: OpenAI

Moderna rolled out ChatGPT Enterprise company-wide and deployed more than 750 custom GPTs within a few months, across legal, research, manufacturing and commercial.

Partners: OpenAI

United Therapeutics unveiled preliminary findings from its collaboration with Tempus, which it describes as a leader in artificial intelligence and precision medicine, laying the foundation for earlier identification of patients with pulmonary hypertension.

Partners: Tempus

An on-demand AI model built with Dataiku that analyzes healthcare-provider sentiment in medical-insight data within days.

Partners: Dataiku

AWS blog co-authored by Gilead's CIO says Gilead uses specialized LLMs to query and summarize literature and databases for drug-target assessment, aiming to cut assessment time by months.

Partners: AWS

Novo runs its own internal ChatGPT and other generative AI tools to raise employee productivity. It listed them in its 2024 Capital Markets Day data-science deck.

An interpretable machine-learning method developed with Microsoft on UK Biobank data to predict atherosclerosis risk and flag new targets and biomarkers.

Partners: Microsoft

A free AI pre-diagnosis tool launched with French start-up MIS that helps doctors identify patients who may have a rare disease.

Partners: Medical Intelligence Service (MIS)

Pfizer built Charlie, a generative AI platform for creating marketing content that also assists fact-checking and legal review, and was rolling it out to marketing and agency partners.

Partners: Publicis Groupe, IPG

Genmab's 2023 corporate responsibility report says it launched a postdoctoral program, its first. The program backs projects that use AI and machine learning tools for digital pathology, single-cell genomics on patient samples, and mathematical modeling of antibody products.

FRONTEO and Shionogi announced a strategic business partnership for dementia-related and depression-related AI programs. Through the partnership they will use FRONTEO's natural-language-processing AI technology to develop diagnostic-support AI models and related medical and non-medical devices.

Partners: FRONTEO

Pfizer extended its agreement with Saama to scale an AI-driven clinical data quality tool across its wider global study portfolio.

Partners: Saama

Machine-learning computer vision on production lines for tasks such as counting cartridges and spotting anomalies on agar plates, with models deployed to edge devices.

Partners: AWS

Scientists hand-label a subset of microscopy images, then a fine-tuned proprietary ML model segments the rest at scale on a serverless AWS pipeline.

Partners: AWS