Ankush Patel, MD

Transforming clinical complexity into catalytic growth

United States

Force multiplier:

• Global perspective applied through strategic bridges •

• Evidence‑backed validation that earns trust •

• Narrative clarity driving market expansion •

• Innovative outcomes that scale impact •

Core capabilities:

AI‑driven diagnostics — digital pathology, multimodal informatics, precision medicine

Translational R&D — IRB‑ready study design, regulatory alignment, LDT / FDA pathways

Narrative architecture — scientific storytelling, market positioning, capital‑raising comms

I integrate clinical insight, systems thinking, and strategic narrative to convert complex science into validated, market‑ready solutions—uniting startups, laboratories, and academic leaders under a common momentum.

Selected projects shown below. Explore the icons or book a discovery call. Click the link below 🔗 to outline your goals.

Inquiries: ankush@digitalpathomics.com
Digital Pathomics 88 LLC

Portfolio

Ecosystem Leadership & Signature Projects

Journal of Histotechnology
08/30/2025
Lead Guest Editor

Guidelines, best practices, and standardization in digital pathology: special issue

Translational AI, Diagnostics & Laboratory Operations

The Journal of Histotechnology
08/15/2025
Novel liquid immunocytochemistry with machine learning analysis for bladder cancer detection

See where AI plugs into routine lab cytology without breaking the bench. A workflow-first approach is essential. The stain-plus-AI pipeline for bladder cancer detection blueprint from Techcyte x Cytobay x Hamamatsu covers: collection > prep > scanning > ML triage > pathologist sign-out. Practical adoption cues (proprietary stain + AI triage compatible with standard labs and early validation signals) can be adapted when scoping noninvasive screening pilots.

Nature
06/12/2024
A Multimodal Generative AI Copilot for Human Pathology - Nature

'PathChat' is a vision-and-language generative AI copilot that can “converse” about whole-slide images and text to support human pathologists. Learn how a foundation model trained on 100 M+ histology patches answers diagnostic questions and pre-annotates slides. Discover a blueprint for blending multimodal AI into education, research, and human-in-the-loop clinical workflows- Practical insights for anyone planning laboratory AI deployments.

Archives of Pathology & Laboratory Medicine
06/14/2024
Bridging the Clinical-Computational Transparency Gap in Digital Pathology

A standard framework that demystifies ML pipelines for pathologists while clarifying real clinical needs for developers: Equips clinicians with a plain-language primer on AI metrics & limitations and gives data scientists concrete workflow touch-points, so both sides can build tools that are accurate, explainable, and clinically meaningful. Ready-to-adapt governance checklists (validation, performance reporting, data sharing) accelerate safe, collaborative AI deployments in any lab.

JPI
04/24/2021
Contemporary Whole Slide Imaging Devices and their Applications

43 modern whole-slide scanners (covering optics, cameras, throughput, and image-quality metrics) map the current hardware landscape in digital pathology. Quick, side-by-side performance specs & trade-offs help labs to shortlist scanners and budget intelligently for WSI roll-outs. Practical pointers on selecting and implementing the right device for your workflow help you dodge costly missteps during digital transformation.

Pathology Research and Practice
Comparison of four different displays for identification of select pathologic features

Benchmarks four monitor types (three fixed workstation displays and one remote consumer-grade screen) for how accurately pathologists spot 10 key features on 90 whole-slide images. Vendor-agnostic, lower-cost or remote monitors match medical-grade displays in diagnostic accuracy, giving hard data to justify budget-friendly or telepathology setups. Offers ready guidance for QC, procurement, and remote sign-out policies.

Diagnostics
Cultivating Clinical Clarity through Computer Vision: Whole Slide Imaging & AI

Surveys the state-of-the-art in whole-slide imaging and AI/computer-vision, linking recent hardware gains and ML breakthroughs to everyday clinical needs. Real-world deployment stories show how digital workflows cut turnaround times, ease staffing gaps, & boost diagnostic accuracy (ideal for pitching or planning adoption). Offers actionable tips on scanner selection, data/label curation, and validation checklists to smooth regulatory and operational roll-out of WSI + AI in your own lab.

The Journal of Applied Laboratory Medicine
01/04/2023
Cybersecurity and Information Assurance for the Clinical Laboratory

Core cybersecurity and information-assurance principles through a clinical-lab lens: mapping common threats, vulnerabilities, & safeguards from EHRs to IoT analyzers. Quick-reference glossaries, threat tables, & real-world ransomware case studies enable lab leaders to spot risks fast & brief their teams in plain language. Step-by-step checklists for resilience planning (patching, supply-chain vetting, downtime playbooks) help preserve uptime & protect PHI.

International Journal of Surgical Pathology
07/12/2023
Whole Slide Imaging Technology and Its Applications: Current and Emerging Perspectives

Synthesizes today’s WSI tech- from scanner optics to AI plug-ins. Packs hardware specs, workflow impacts, and the latest FDA policy shifts into a single review, giving labs a ready checklist for budgeting and rollout. Flags hidden adoption hurdles (cost, QC, culture) and offers a step-by-step roadmap to standardize, validate, and scale WSI in routine practice.

Surgical Pathology Clinics (Chapter)
12/01/2022
Applications of Digital and Computational Pathology & AI in Genitourinary Pathology Diagnostics

Summarizes current FDA-cleared and research-stage AI tools, their performance, and real-world validation hurdles, giving labs a clear snapshot of where GU-focused algorithms stand today. Offers actionable guidance on data quality, generalizability, and multiple-instance learning strategies that can fast-track safe AI deployment in your own GU pathology workflow.

JPI
Genitourinary Pathology Society Update: Computational Tools for GU Pathology Practice

Maps today’s computational-pathology toolbox for prostate, bladder, kidney & testis- spanning AI algorithms, data requirements, and validation hurdles. Pinpoints FDA-cleared vs. research-stage models, performance, & prerequisite datasets useful for budgeting, grant writing, or prioritizing in-house development. Lays out a consensus roadmap of open research questions and regulatory touch-points, helping labs and vendors align future GU-AI projects with clinical impact.

Partnered Initiatives

Strategic Communications & Scientific Storytelling