About the Lab

Applied AI for Pharma & Healthcare

PharmaTools.AI is an applied AI lab founded by Nick Lamb, PhD — exploring ways GenAI can make medical communication clearer, safer, and more human. Each experiment blends science, design, and language to show how people and AI can work together more effectively.

Nick's background in medical writing, creative technology, and AI research shapes the lab's approach — from prototypes like BiomarkerFinder to full tools like Patiently AI and MedCheckr®.

Award-winning AI experiments Advisory & strategy Open to collaborations R&D briefs welcome
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Experimental Demos - PharmaTools Lab

Early-Stage Experiments

Beta

MedCheckr

MedCheckr compliance checking interface

AI-powered compliance tool that checks promotional claims against global pharma codes using RAG-based AI for real-time regulatory feedback.

Beta

SideEffectViz

SideEffectViz interactive visualization interface

Interactive visualization and clustering of medication side effects using FDA adverse event data and machine learning.

Beta

BiomarkerFinder

BiomarkerFinder cancer biomarker discovery interface

Discover key biomarkers in cancer and their role in diagnosis, prognosis, and treatment - powered by Open Targets and AI insights.

Beta

Case Study Creator

Case Study Creator interface

AI-powered business case study generator for pharma and healthcare teams. Ideal for commercial, medical and training use cases.

Beta

AI Jargon Buster

AI Jargon Buster interface

Turn AI gobbledygook into words humans understand!

Coming Soon

MedTermTracker

Analyzing how medical terminology for specific conditions changes over time using NLP and trend analysis.

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Publications - PharmaTools Lab

Behind the Experiments: Research & Reflections

PosterLens ePoster at ESMO AI & Digital Oncology Congress

PosterLens: AI-Powered Mobile App for Decoding Scientific Posters

ESMO AI & Digital Oncology Congress November 2025

ePoster presentation showcasing PosterLens, a mobile application that uses AI to extract and simplify clinical trial data from conference posters.

Mobile AI Clinical Trials Digital Health
Download ePoster (PDF)
Healthcare AI privacy risks illustration

When AI Can't Forget: The 7 Hidden Risks of LLMs in Healthcare

Medium August 2025

Critical analysis of data privacy, security risks, and HIPAA compliance challenges when deploying LLMs in healthcare settings.

Data Privacy LLM Security HIPAA
Read Article
Illustration showing a broken AI language model

How to Break a Large Language Model

AI Advances May 2025

Exploring edge cases, reasoning failures, and evaluation methods for testing LLM robustness and safety in production environments.

AI Safety LLM Reasoning Prompt Engineering
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Illustration showing AI simplifying workflows

How to Fix Pharma's Content Duplication Problem

Pharmaphorum April 2025

Strategic framework for aligning medical affairs and commercial teams using AI workflows to eliminate content duplication and improve efficiency.

Content Strategy AI Workflows Medical Affairs
Read on Pharmaphorum
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