Augmenting Intelligence, Artificial and Otherwise

We are comprised of PhD-grade computer scientists and data analyst, with particular experience in computational biology and healthcare. Our staff has extensive experience in both industry and academia, including a number of high-impact academic publications, technology patents and successful startups.

We have decided that offering direct consultation and custom implementation services to clients for AI-related projects is a better solution than one-size-fits-all offerings from large AI companies. We firmly believe that both our organization and yours will benefit more from a close and collaborative relationship that results in a customized solution for your organization’s , rather than attempting to contort a massive general AI solution to your needs.

Ongoing Client Engagements

  • MEIOH AI is helping the Children's Cancer Therapy Development Institute (cc-TDI.org) to design bespoke molecular inhibitors to target the mutant genes responsible for childhood cancer

  • MEIOH AI is collaborating with CausaliT (causalit.ai) on developing next-generation causally aware, decentralized AI solutions across a range of industries and applications

Selected publications from our Staff

Applying Large Language Models for Causal Structure Learning in Non Small Cell Lung Cancer (Naik et al. 2023)

Functional genomics of human clear cell sarcoma: genomic, transcriptomic and chemical biology landscape for clear cell sarcoma (Rasmussen et al. 2023)

Design and implementation of a decentralized Virtual Molecular Tumor board across a large, diverse community health system (Piening et al. 2022)

Polycomb represses a gene network controlling puberty via modulation of histone demethylase Kdm6b expression (Wright et al. 2021)

Advancing clinical cohort selection with genomics analysis on a distributed platform (Smith et al., 2019)

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