Sitemap

Instructional Biology is a research-stage biotech in Oceanside, CA building ASAP, a biology-native AI that maps how the body's signals interact.

Every medicine is approved on an average, and nobody is the average. Our patient digital twin reads the trials and asks one question for one person.

Instructional Biology Inc. is a research-stage biotechnology company in Oceanside, California, building the ASAP AI platform and MHFBP bio-processing.

Contact Instructional Biology Inc. at boris@instructionalbiology.com or (818) 208-0270, or send a message. Expect a personal reply, not an autoresponder.

Boris Markosian, founder of Instructional Biology Inc.: fifteen years across neuroscience, data architecture at Google, and biological operations.

Partner with or license any of Instructional Biology's five core technology systems, alone or together, and request investor reference room access.

Plain answers about Instructional Biology Inc.: what ASAP and MHFBP are, the five technology systems, the company's research stage, and how to reach us.

A plain-language biotech glossary: Instructional Medicine, ASAP, the Signaling Cascade Knowledge Graph, Poincaré ball, MHFBP, exosomes and digital twins.

Instructional Biology investors: a research-stage San Diego biotech in Oceanside, CA. Platform overview, public milestones and data room access by request.

Instructional Biology's pipeline: all ten revenue streams, from ASAP and ISRS-ML to Therapeutics and Vanguard Assets, each on one seven-stage line from Discovery to Sales.

Instructional Biology's ten revenue streams, the patent segments that protect them, and the USD 479.3 billion of markets those segments address.

ASAP, the Advanced Science AI Platform, is Instructional Biology's discovery engine, offered to pharma and biotech partners as subscriptions, discovery partnerships or platform licenses.

ISRS-ML is Instructional Biology's non-thermal optical pathogen-reduction system, licensable as a standalone apparatus to blood banks, plasma processors and biologics manufacturers.

The Thermodynamic Cold-Stop: skids, manifolds and methods that arrest a process stream rapidly and without heat, supplied by Instructional Biology as a retrofit.

Instructional Biology's Bioreactor Retrofits: jacketed vessels, retrofit skids, in-line structural sensors and guardrail control loops for existing bioreactors, licensed to contract manufacturers and equipment vendors.

Instructional Biology's OTC Products: non-prescription dietary-supplement and transmucosal products, already at the Sales stage.

Instructional Biology's Cosmeceuticals: non-prescription cosmetic products for the skin, scalp and hair, presented without any claim that they diagnose, treat, cure or prevent disease.

Instructional Biology's In-Silico Tox & Clinical: computational toxicity screening and virtual-cohort testing for drug developers, combining ASAP with the digital twin before a study begins.

Instructional Biology's B2B Clinical: digital twins for hospitals, clinics and prescribers, working only inside limits the prescriber authorizes.

Instructional Biology's B2C Wearables: consumer wearable signal processing that turns a wearable's readings into a personal, informational report, with no recommendation to start, stop or change any medicine.

Instructional Biology's Therapeutics & Vanguard Assets: drug candidates developed for disease indications, VPE-3 first, each protected by its indication, its composition, its carrier and its release certification.

Instructional Medicine, our research thesis: network pharmacology and systems biology tools that reason about biological signaling as one connected system.

The Markosian High-Fidelity Bio-Processing Protocol (MHFBP): lower-temperature bioprocessing designed to preserve the native structure of fragile proteins.

The carrier (exosome) manufacturing system: engineered delivery vesicles that protect a payload, configured per individual by the reasoning system.

A non-thermal pathogen-reduction system using ultrashort-pulse laser light tuned below the threshold that damages protein structure. Safety without heat.

The Signaling Cascade Knowledge Graph: signaling biology in hyperbolic space, reasoned over by a graph neural network that tells agonist from antagonist.

Closed-loop treatment revision inside a clinician-authorized envelope: bounded, reviewed, escalated to a human, and never an autonomous device decision.

Five connected technology systems: ASAP discovery, MHFBP bioprocessing, ISRS-ML pathogen reduction, MET-APFS exosome carrier, and digital twin dosing.

An interactive Poincaré disk map of the Signaling Cascade Knowledge Graph, and why hyperbolic space fits biological hierarchy better than a flat layout.

VPE-3 (POEF): what peer-reviewed rat studies show about strengthening opioid pain relief, and what has not yet been tested in people.

Plain-language explainers from Instructional Biology on exosomes, protein denaturation, digital twins, in silico modeling, wearables and the patent cliff.

What adaptive medicine should mean: wearable data informing treatment inside limits a clinician sets in advance, never an autonomous device decision.

What bespoke therapeutics require: therapies designed around an individual's biology from the first step, not a population average adjusted afterward.

What a digital twin in medicine is and isn't: an evolving, evidence-bounded model of one person's biology that updates as new signals arrive.

How ultrashort laser pulses inactivate viruses without heat or chemicals: impulsive stimulated Raman scattering (ISRS), explained in plain language.

Clinical trial failure is counted in dollars, but its deeper cost is time, uncertainty and participant effort. Why better research questions matter.

What in silico modeling means in biology: testing hypotheses in a computer model first, so the experiments that reach the lab are the ones worth running.

MHFBP is a lower-temperature biomanufacturing approach that treats pathogen safety versus protein structure as a design choice, not a fixed tradeoff.

Close to 200 branded drugs lose patent exclusivity between 2025 and 2030. Why the durable opportunity is a reusable way to reason about biology.

The average patient does not exist. What truly personalized medicine requires: reasoning from an individual's own biology and trajectory, not an average.

What the Thermosensitive Peptidome is: signaling peptides whose 3D fold carries their function, why heat unfolds them, and how to preserve them.

What are exosomes? A sourced explainer on how cells make these tiny vesicles, why they are studied as drug carriers, and the open challenges.

Why does heat denature proteins? A plain-language guide to protein unfolding, aggregation, and how biologic medicines are protected.

How wearable health monitoring and digital biomarkers, from glucose sensors to smartwatch ECG, change what medicine can measure, and where the limits are.

Why do drugs fail clinical trials? Peer-reviewed data on drug development success rates, the main reasons for failure, costs, and ways to improve the odds.

Knowledge graph drug discovery explained: how genes, drugs and diseases become a connected map, with Hetionet, PrimeKG and repurposing results.

Protein aggregation in biopharmaceuticals: where aggregates form from cell culture to syringe, why they raise immune risk, and how they are controlled.

What is a patient digital twin? How a living model of one person tests a dose before it reaches the bloodstream, with clinician-set safety limits.

What is the cost to develop a new drug? A sourced look at the major estimates, why they range so widely, and where the money goes in the pipeline.

Official press releases from Instructional Biology, including the U.S. patent application No. 19/793,487 announcements, with the original release text.

Founder and sole inventor Boris Markosian filed U.S. patent application No. 19/793,487 for a platform built on natural, native biologics. Read the release.

Instructional Biology announces U.S. Utility Patent Application No. 19/793,487, bringing five technology systems together under Instructional Medicine.