Ecosystem Leadership & Signature Projects
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
Ecosystem Leadership & Signature Projects
Guidelines, best practices, and standardization in digital pathology: special issue
Host/Venue: University of Pittsburgh
Preview: Series Intro (recut) - Full series: https://www.nsh.org/learn/pathology-certificate
Translational AI, Diagnostics & Laboratory Operations
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.
'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.
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.
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.
Offers best-practice checklists: session formats, networking structures, governance, and ethics to replicate conference models sending safe, interpretable AI from lab to clinic. Offers concrete case studies and literature-backed recommendations you can adapt to plan XAI-focused events or strengthen cross-disciplinary collaborations in your own organization.
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.
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.
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.
Audits a multi-year, high-volume digital lab to catalog every unique cause of WSI scan failure and respective occurrence. Hard benchmarks & visual taxonomy of 9 common artifacts arm lab directors with QC targets and staff-training material. Strengthens business case for full-scale digital pathology adoption.
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.
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.
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
Researchers Argue for Equality in Psychedelic Terminology Used in Medical Care
Ketamine may improve the quality of recovery (QoR) in patients undergoing thoracoscopic, i.e., chest, surgery when given around the time of procedure.
Brazilian researchers reviewed a series of published studies to draw further insight into the effects of combined ketamine and alcohol use.