Generative AI- and biomarker-powered therapeutics to enhance and protect microglia — the immune cells of the brain.

Therapeutics designed to enhance and protect microglia, restoring their ability to clear harmful brain cell debris and pathogens.
Leveraging cutting-edge generative AI to accelerate drug discovery and identify novel therapeutic targets in neurological disease.
Biomarker-powered precision medicine to ensure the right treatment reaches the right patients at the right time.
Indications: Alzheimer's Disease (AD), Traumatic Brain Injury (TBI), and adjacent brain indications
Note: AI-suffix = Generative AI-engineered variant
We develop and apply novel generative AI tools to engineer large and small molecule drugs that supercharge microglia — with predicted improvements in efficacy and safety. We verify our predictions with high-throughput experiments for microglial clearance, inflammation, and mitochondrial function.
Through a partnership with Gryphon Bio, we reverse-translate blood biomarkers from clinical studies to improve the odds of successful preclinical studies, as well as future clinical trials, with our microglial drugs.
Our proven, cohesive leadership team is comprised of innovative and dedicated drug developers, scientists, clinicians, and business leaders.
William Haskins
Dr. Haskins brings 20+ years experience in therapeutic R&D, including leadership roles at Genentech and Catalent. Well-versed in CNS biomarkers and large molecule drug development (OCREVUS®, KADCYLA®, POLIVY®, etc.).
Franklin Okumu
Dr. Okumu brings 20+ years in R&D experience from Genentech, Novo Nordisk, and Dr. Reddy's (KADCYLA®, PERJETA®, DIFICID®, SERNIVO®, ZEMBRACESYMTOUCH®, IMPOYZ®, etc.)
Henry Lowman, PhD
Dr. Lowman brings 20+ years of leadership roles in antibody engineering at Genentech, NGM Biopharmaceuticals, CytomX Therapeutics, Triphase Accelerator U.S.
Todd Kilbaugh
Dr. Kilbaugh is the Associate Anesthesiologist in Chief and Associate Chair of Research for the Department of Anesthesiology and Critical Care Medicine at the Children's Hospital of Philadelphia.
Research from our team and collaborators on blood biomarkers across the TBI–MCI–AD continuum. Preprints have not been peer-reviewed; published versions are linked where available.
Expert Review of Molecular Diagnostics · Review article
"…UCH-L1 and GFAP levels increase significantly in the bloodstream following traumatic brain injury, aiding in early and accurate diagnosis."
Critical Care Medicine · Conference abstract, SCCM Critical Care Congress 2025
"Isolated DAI is associated with unique blood biomarker and outcome profiles in msTBI patients."
medRxiv preprint · Related research
Published version: Prior Traumatic Brain Injury and Alzheimer Disease Blood Biomarkers — JAMA Neurology, June 29, 2026
"…accuracy was 90% in Veterans without TBI history, but was significantly lower (63-78% accuracy) in Veterans with TBI history, with lowest accuracy in those with greater TBI severity."
Proteoform-resolved neoGFAP™ as a diagnostic and prognostic biomarker across the TBI–MCI–AD continuum in Veterans
medRxiv preprint
"…neoGFAP™ discriminated mild cognitive impairment plus Alzheimer's disease from non-Alzheimer subjects with an area under the receiver-operating-characteristic curve of 0.81 versus 0.73 for total GFAP…"
Serial neoGFAP™ outperforms total GFAP for monitoring and 6-month outcome discrimination after moderate to severe traumatic brain injury: an exploratory single-site cohort study
medRxiv preprint
"…IMPACT plus late neoGFAP™ achieved AUROC 0.90 versus 0.84 for late total GFAP…"
medRxiv preprint
"These pilot findings support the analytical feasibility of capillary DPS sampling for GFAP and NfL measurement in TBI…"
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