Keep up with AI in life sciences
Follow new AI use cases, advances in the technology, and regulatory changes that matter for pharma and life sciences.
For professionals responsible for AI use cases and projects in pharma and life sciences
Choose the AI use cases worth pursuing.
Stay current with AI use cases, technology, and regulation in pharma and life sciences. See how organizations use AI, decide what deserves attention, and use a clear framework to turn the right use cases into value.
Stay current and turn the right AI use cases into value.
A clear way to evaluate AI use cases
Use the framework and tools to compare use cases, test the business case, and plan the next step.
Learn from specialists and peers
Connect with people working on similar AI use cases and projects, compare approaches, and learn from their experience.
For people responsible for choosing and delivering AI projects.
This membership is for professionals who decide which AI use cases deserve attention and help move them from idea to implementation.
Your work
You may work in project management, digital transformation, innovation, quality, regulatory affairs, operations, or technology.
Your responsibility
You help decide which AI opportunities deserve attention, where the organization should invest, and what the work will involve. You may also be the AI champion in your team or function, helping others understand the options and move promising ideas forward.
Your experience
You may be developing your first AI use case or managing several projects already in progress. You do not need a technical model-building background.
See what a practical AI use case really involves.
The library helps you find use cases that fit your work. Each overview shows the problem, proposed solution, supporting evidence, GxP relevance, expected value, risks and controls, and the next decision.
Understand what AI developments mean for life sciences.
AI news moves quickly. We focus on changes that affect pharma and life sciences and explain why they may matter to your work.
AI Intelligence
Member workspace
Machine learning and terahertz spectroscopy for pharmaceutical quality control
Researchers combined terahertz spectroscopy with machine learning to classify and quantify pharmaceutical content. The development could expand how manufacturers perform fast, non-destructive quality analysis.
What changed
A new analytical approach showed strong performance in a controlled study.
The work combines spectral measurements with machine-learning models to identify and quantify pharmaceutical ingredients.
Why it matters
Quality teams could get faster information without destroying the sample.
The results are promising, but organizations would still need evidence from representative products and production conditions.
At a glance
SourcePeer-reviewed research
TechnologyMachine learning
EvidenceControlled study
PublishedJuly 2026
Learn from people facing the same decisions.
Bring questions from your work to live sessions with specialists and other professionals responsible for AI projects. Compare how they assess use cases, handle regulatory questions, and help teams use new solutions.
Live specialist sessions
Review current use cases and technology with specialists who understand pharma and regulated work. Ask what each change could mean for your project.
Peer experience
Discuss decisions and problems with members responsible for similar work. Learn what they tried, what they changed, and what they would do differently.
Members working on similar AI projects
Everyone applies before joining. Members work across pharma and life sciences and share responsibility for choosing and delivering AI projects.
Turn insight into strong AI initiatives.
The HTO Applied AI Framework provides a structured way to move from an emerging opportunity to a credible use case, business case, and implementation strategy.
Guided learning, templates, and decision tools help members apply each part of the framework to real AI initiatives.
(01)Direction
Set the right direction and strategy
Clarify what AI should change, where it can create value, and the principles that should guide the work.
Output
A clear direction and decision criteria
Choose a stage to explore the method.
Experience across AI, digital transformation, and regulated implementation.
Our team brings many years of experience working with AI, digital transformation, Industry 4.0, and Industry 5.0 across the pharmaceutical and life sciences value chain. We have worked with AI, digital, and automation use cases from strategy to implementation, including identifying and prioritizing use cases, building business cases, developing implementation strategies, and supporting adoption and value realization in regulated environments.
GxP and validation expertiseWe bring regulatory, GxP, validation, and governance considerations into the evaluation and implementation of AI use cases.
Guest specialistsWe invite specialists working with AI across pharma and life sciences to examine real cases, share experience, and answer practical questions.
Strategy & Transformation Leadat HTO & Beyond
Bzhwen
Kadir, PhD
Connects strategy, people, and implementation to make AI work.
AI & Technical Leadat HTO & Beyond
Agzam
Idrissov, PhD
Builds reliable AI and data foundations for practical solutions.
GxP & Compliance Leadat HTO & Beyond
Rikke Egeberg
Tankard, PhD
Makes AI innovation practical, compliant, and trusted in GxP environments.
Commercial & Operations Leadat HTO & Beyond
Li Ren
Ou
Builds commercial momentum through partnerships, funding, and disciplined operations.
One membership. Everything included.
Choose quarterly or annual billing after your application is approved. Both plans include the full membership.
Membership includes
✓Continuously updated AI use cases for pharma and life sciences
✓AI, technology, and regulation updates explained for pharma and life sciences
✓The HTO Applied AI Framework, guided learning, and templates
✓Live sessions with the team and guest specialists
✓Peers working on similar AI projects, professional discussions, and feedback
Why you need to apply
The people in the membership shape the quality of every discussion. We review each application to bring together professionals responsible for AI work in pharma and life sciences. Members can discuss decisions with people who understand the setting and the work.
Applying is free. If we approve your application, you can choose a quarterly or annual plan and complete signup.
Opening and billing
The full membership opens on October 1, 2026, and billing begins on that date. Approved members who complete signup earlier receive access to the Members guide and opening information before the full membership opens.
Frequently asked questions.
Have a question we have not answered? Contact us
Is this about tools such as ChatGPT?
The membership focuses on choosing and delivering AI use cases inside pharma and life sciences organizations. Members learn how to assess an opportunity, build the business case, and plan implementation inside a regulated setting.
Do I need a technical background?
No. The membership is designed for professionals who make decisions about AI projects. You need knowledge of your work and organization. Technical specialists can support model development when a project reaches that stage.
How current is the material?
We add new use cases and update our technology and regulation coverage as the field changes. Each update explains what changed, why it matters, and where it may affect pharma and life sciences.
What level of experience do members have?
Members range from professionals assessing their first AI project to people managing several. They share responsibility for choosing, shaping, or delivering AI work in a regulated organization.
How much time does membership require?
Use the membership around the work already on your desk. Follow the updates that affect you and join sessions that answer a current question. Use the framework when you assess or plan a project.
How is regulation covered?
Each use case and specialist session considers the regulatory questions that may affect the work, including GxP, validation, governance, and audit needs. The membership helps you raise those questions early and involve the right internal specialists.
Can my company pay for the membership?
Your company can pay for the membership as professional development in AI, digital transformation, or project delivery. You can also apply and pay personally.
Make better decisions about where to use AI.
Stay current on the changes that affect pharma and life sciences. Compare real use cases and decide which opportunities deserve your time and investment.
Apply for membership