Gadi Lachman Joins PicnicHealth Board to Enhance AI-Driven Research
PicnicHealth has appointed Gadi Lachman to its Board of Directors, announced in a press release. Lachman, a veteran in healthcare technology, is known for his role in building and scaling global health-data platforms. His experience at TriNetX, where he led the company to become a leading real-world data network, will be instrumental as PicnicHealth continues to expand its capabilities in patient-centered, non-interventional research.
PicnicHealth is focused on overcoming inefficiencies in non-interventional research through an AI-enabled approach that streamlines the research process. The company curates medical records from various care sites to create a Unified Patient Record, facilitating faster and more cost-efficient research. Currently, 12 of the top 20 biopharmaceutical companies partner with PicnicHealth to leverage these capabilities.
Lachman's appointment comes at a pivotal time for PicnicHealth as it seeks to enhance its leadership in the field of real-world evidence research. His extensive background in healthcare IT solutions and patient engagement platforms is expected to support the company's mission to transform how medical records and real-world data are captured and applied in research.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Life AI Weekly or Daily AI Brief.
Also, consider following us on social media:
More from Life Sciences
Sep 29 Truven launches MarketScan Snapshot for healthcare data checks Sep 29 Omega Healthcare Wins Gold in 2026 AI Breakthrough Awards Sep 29 Phylo Launches Target Atlas for Drug Target Prioritization Sep 29 ChromAgeNet Detects Aging Signs in Blood Stem Cell Images Sep 29 Axxess Partners With Eazewell for Hospice Family SupportLife AI Weekly
Weekly coverage of AI applications in healthcare, drug development, biotechnology research, and genomics breakthroughs.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
HealthIQ Solutions and Eirion.ai Partner on Predictive AI for Remote Care
Zocdoc Launches Care Access Network for Appointment Booking
Milliman MedInsight Introduces MIKE for Healthcare Analytics
Gigasheet Launches AI Agent for Healthcare Claim Benchmarking
Probably Genetic Gets Up to $10M ARPA-H Contract for Rare Disease AI
Daily AI Brief: the AI news that matters, in your inbox.