On July 14, @UCSF_Ci2 welcomes @Penn's Dr. Tessa Cook for a discussion on #MedicalImaging. See you there!

A @UCSF_Ci2 project led by Beck Olson shows how large language models can simplify complex structured health data without compromising privacy. Using local SQL queries & natural language, users gain secure, transparent insights from sources like ADNI.

A new @UCSF_Ci2 groundbreaking dataset, spearheaded by Dr. Jeff Rudie, is available! The data is publicly accessible for researchers to utilize in pushing the boundaries of #AI applications for brain metastases. To access the complete dataset, visit

.@UCSF_Ci2 is advancing Alzheimer's Disease research during #AlzheimersAwarenenessMonth. The research "has given credence to the idea that regional susceptibility may depend on its cell-type composition.".

Research published in @alzassociation by @UCSF_Ci2's Dr. Ashish Raj & collaborators found there was a "nontrivial association between directionality bias & tau aggressiveness." #AlzheimersAwarenessMonth.

New Blog Post: Structured Data Meets Large Language Models (LLMs) ➡️

RT @UCSFimaging: A new study from @UCSFimaging & @UCSF_Ci2's Dr. Andreas Rauschecker (@DrDreMDPhD) & @KECKSchool_USC tests five models usin….

New on the @UCSF_Ci2 blog: "UCSF Ci2 Advances Alzheimer's Disease Research". Visit to read how Dr. Ashish Raj studied the cellular underpinnings of the selective vulnerability to tauopathic insults in #AlzheimersDisease.

.@UCSF_Ci2 authors, including Dr. Jeff Rudie, developed one of the most extensive & comprehensively annotated publicly available datasets for post-treatment #gliomas.

A new study in @sciencedirect compares mathematical reaction-diffusion models "to identify which interactions were key to model success." For #AlzheimersAwarenessMonth, read how @UCSF_Ci2's Dr. Ashish Raj studied the progression of #AD.

Dr. Ashish Raj, of @UCSF_Ci2, & collaborators deployed a cell-type mapping pipeline to identify general principles of cell-type-based selective vulnerability of Alzheimer's disease in rats. #AlzheimersAndBrainAwarenessMonth

Visit to learn how researchers, including @UCSF_Ci2's contributors, tested if a probabilistic brain metastasis #AI risk model could reduce the cognitive side effects of radiation therapy. 🧠

.@UCSF_Ci2's Dr. Jeff Rudie's dataset is publicly available! The multimodal brain MRI dataset, consisting of 560 MRIs of brain metastases, also includes patient demographics, surgical status & primary cancer types. Access it now ➡️

It's that time of year again! Meet the summer interns at @UCSF_Ci2 who will work on using #ArtificialIntelligence to improve clinic notes, radiological communication & better predict patient outcomes. Say hi to Harsh, Koharu & Anoushka!

The deployment of #ArtificialIntelligence in medical environments has expanded following recent research from @UCSF_Ci2 authors & contributors. Learn how #AI is helping patients in #BrainCancer radiation therapy.

Our team at @UCSF_Ci2 developed a longitudinal post-treatment diffuse glioma dataset that contains multimodal brain MRI scans from 298 patients with diffuse gliomas. Check it out!

Join us in welcoming our three new summer fellows to @UCSF_Ci2! Drs. Rajesh Shah, Jae Ho Sohn & Melanie Morrison will mentor our interns & oversee their project work. Welcome!.

.@NatureComms research, conducted by @UCSF_Ci2 & collaborators, sought to find if a probabilistic brain metastasis risk model could enhance the therapeutic ratio of whole-brain radiotherapy by targeting high-risk areas.

The @UCSF_Ci2 Hip Fracture Detection Program uses models aided by #MachineLearning to improve physician accuracy in detection & classification. Visit to read about the program & related research. #OsteoporosisAwarenessMonth

Our team at @UCSF_Ci2 has developed a medical imaging data set to support the development of new algorithms that can better distinguish aggressive from indolent disease based on non-invasive imaging. Visit to access the data set.