NeuroXT and BIDMC Expand Research Collaboration on AI-Based Alzheimer's Treatment
NeuroXT and Beth Israel Deaconess Medical Center have entered a new phase of their collaboration to advance precision treatment for Alzheimer's disease, announced in a press release.
The two organizations completed their initial research that validated NeuroXT's MRI based AI technology for estimating Alzheimer's PET biomarkers. The new agreement expands the study to include data from patients who have received Alzheimer's therapies at BIDMC for over a year, with the goal of improving the clinical use of NeuroXT's imaging biomarkers.
The collaboration continues under the leadership of Dr. Daniel Press, Chief of the Cognitive Neurology Unit at BIDMC, and Dr. Chun Lim, Medical Director of the same unit. NeuroXT also participated in a 2025 BIDMC symposium on new biomarkers in early Alzheimer's disease, which brought together global experts to discuss emerging approaches.
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
Oct 16 Attilio appoints Buck Institute CEO Eric Verdin as cochairman Oct 16 Aignostics launches HETA Clinical for pathology workflows Oct 16 Specialty1 Partners Invests in AI for Dental Practice Operations Oct 15 Study Tracks 270 Million Clinical AI Queries on OpenEvidence Oct 15 OpenAI Offers US University Labs Free GPT-Rosalind AccessLife 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
Brainomix and Pulmonary Fibrosis Foundation Partner on AI Lung Imaging Research
Linearis Joins Two Canadian AI Health Data Projects
LUNGevity Awards $2 Million for Lung Nodule Risk Studies
XpertDox Brings AI Medical Coding to Kai Shin Clinic
ARPA-H Funds $28.6 Million AI Protein Research Project
Daily AI Brief: the AI news that matters, in your inbox.