We’re engaging partners to ensure GRIP is optimized for key research needs.

ATRI aims to detect and treat Alzheimer's disease by understanding its stages, designing tools for studying therapeutics, creating rigorous trial designs, prioritizing privacy and safety for patients, analyzing trials, sharing findings, and educating the clinical trials workforce.

The Computational Image Analysis team at the Banner Alzheimer’s Institute will develop streamlined analysis pipelines for PET and MR image data, deploy these pipelines in the GRIP environment, and evaluate additional functionalities of the GRIP platform.

Realizing the full potential of digital tech will require new methods for acquiring, processing and analyzing multi-sensor digital data streams. Our team is focused on building a digital toolkit for anyone, regardless of technological expertise.

The Alzheimer's Imaging Research team at Duke University Departments of Radiology and Psychiatry will develop, validate and streamline a deep learning algorithm to predict PET-determined cortical amyloid status from MRI and clinical variables, and deploy in the GRIP platform for additional validation and refinement.

Emory University's Goizueta Alzheimer’s Disease Research Center (ADRC) seeks to bring research advances into the clinic and community that will reduce the burden of Alzheimer's and related diseases through the discovery and translation of new biomarkers to enable early detection and effective intervention.

FreeSurfer is a premier open-source software for analyzing brain MRI data, widely used in studies of brain structure and function. FreeBrowse will extend the FreeSurfer main visualization component to the browser, while integrating with GRIP tools.

Johns Hopkins is integrating medical imaging data with EHR outcomes data to generate imaging based evidence. This will enable researchers to create highly granular precision medicine biomarkers to study disease.

The KUMC Alzheimer’s Disease Research Center (ADRC) is excited to collaborate with Gates Ventures and our fellow clinical and research partners to develop GRIP into a transformative, multifaceted platform that supports a wide range of ADRC needs.

The Department of Neurology aims to provide the best neurological care to patients and their families, create new methods for evaluation and management of diseases of the nervous system and train the next generation of practitioners and academic neurologists.

The MIT team is supporting the GRIP platform through development of a digital toolkit for digital voice data processing. Our research aims to leverage digital expertise to support discovery and digital biomarkers for a wide range of neurodegenerative indications and beyond.

UCSF's Abbasi Lab seeks to design advanced machine-learning frameworks for the analysis of multi-modal healthcare data. These modules integrated with GRIP will enable researchers to effectively process and understand medical imaging, biosensor measurements, clinical text, and other types of clinical data.

The UGOT Team aims to develop modules that will facilitate the visual assessment and accurate quantification of tau positron emissions tomography (PET) scans, as well as a module to automatically derive volumetric information from routine brain computed tomography (CT) scans.