
Advancing Clinical Success with Cutting-Edge Inference based AI Technology

Your Vision, Our Innovations, Clinical Reality!
Our inference-driven AI technology empowers scientists to identify better therapeutic candidates faster and at lower cost, minimizing risks in drug-like properties and toxicity to boost clinical success rates.
Boosting Drug Candidates' Clinical Success Through Smarter Discovery
Two challenges
1. High Failure Rates
Nearly 90% of drug candidates fail in clinical trials, with 45% of these failures due to poor ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) properties—issues often discovered too late in development [Sun et al. Acta Pharmaceutica Sinica B 2022, 12: 3049-3062].
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2. Too Many Tools, No Clear Solution
Countless tools aim to predict ADMET outcomes, but each works differently, with its own strengths and blind spots. The result? Inconsistent predictions and no clear consensus on which truly reflect reality in animals.
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Proholistic Discovery takes a new path—combining systems thinking with inference-driven AI, PK, PD, and Systems Pharmacology modeling to guide smarter, faster drug discovery. Our innovate technologies empower researchers to make confident, data-informed decisions early—reducing risk and improving clinical success.

Our Services

Consultation
Our consultation services offer expert guidance in systems pharmacology to optimize drug development strategies.
We work with Applied Pharmaceutical Innovation (API) based in Edmonton to provide tailored solutions to enhance success rates and streamline the clinical trial process, ensuring efficient and effective outcomes.

Bayesian AI ADMET assessment
Our solution to increase clinical success.
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Bayesian AI ADMET assessment. It provides a quick and yet robust estimate of the ADMET properties of your candidates.
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Customized Physiological based PKPD modeling.
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Animal PBPK/PD model tailored to your needs, validated with benchmark studies
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Include a virtual course to set up and conduct in silico studies independently
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Aptamer design
Our commitment
Innovation
Our commitment to innovation drives us to explore new horizons in quantitative systems pharmacology. We constantly seek groundbreaking solutions to revolutionize the industry and help clients advancing their drug discovery.
Collaboration
Collaboration lies at the heart of our approach. By fostering strong partnerships with clients and industry experts, we create synergies that lead to enhanced drug development processes and ultimately, improved clinical trial success.
Quality
Quality is paramount in everything we do. From our services to our technology, we uphold the highest standards to deliver excellence and reliability in supporting drug development initiatives.
Meet Our Team
Our dedicated team at Proholistic Discovery brings over 30 years of expertise in biomedical sciences and computer-aided drug discovery.
Advisory board

Sir Michael Houghton, PhD and Nobel laureate in Physiology or Medicine in 2020
Pharmacology
Dr. Houghton is is the Li Ka Shing Professor of Virology at the University of Alberta where he is also the Director of the Li Ka Shing Applied Virology Institute. He is also the CSO of Applied Pharmaceutical Innovation.

Dr. James Frost, MD, PhD, and MBA
Pharmacology
Dr. Frost is President of BioMolecular Imaging, LLC. and Professor emeritus of Radiology and Neuroscience at Johns Hopkins University. He has consulted for a wide variety of pharmaceutical and biotech diagnostic and therapeutic entities.
He pioneered the first molecular imaging technologies to image neuroreceptors.

Prof. Patrick Poulin, PhD
Pharmacokinetics and Toxicology
Prof. Poulin is an Associate professor at Department of Public Health, University of Montreal and a pharmacologist and toxicologist at Consultant Patrick Poulin Inc. He is a renowned expert in DMPK predictions and First-in-Human dose projects. He also has contributed to the development of Phase I studies of several drugs with successful dose predictions.

Prof. Mohammad Ashrafuzzaman, DsC
Membrane physics and Aptamer
Prof. Ashrafuzzaman is a Professor at Biochemistry Department of College of Science at King Saud University, Riyadh, Saudi Arabia. He specializes in applying theoretical and experimental approach to study the membrane and protein interactions of cell-targeted agents, including drugs and nanoparticles and aptamer design.

Alexander Tuszynski, MBA and CFA
Business Development

Yu-Jade Hsu, MBA
Business Development



