London’s New School for Multi-Omics, AI & Molecular Medicine

Where Biology Meets Code, and AI Transforms Medicine.

London School of Multiomics & AI delivers advanced, visually rich education in bioinformatics, multi-omics, molecular medicine, drug discovery, ageing science and AI-driven healthcare.

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"Learn the biology. Understand the data. Practise the code. Apply AI."

A New School for a New Scientific Era

Where molecular biology, omics data and artificial intelligence come together.

LSMA was created to help learners understand the new language of biomedical science: molecular mechanisms, multi-omics technologies, computational analysis and precision medicine.

Programmes

Opening July 2026

LSMA is launching with three focused programmes designed for learners who want to understand the future of molecular science, biomedical data and AI-driven healthcare.

Flagship Programme

Cancer Intelligence Programme

8 weeks | Online | Computational practical workflows included

An advanced programme introducing cancer biology, omics technologies, multi-omics integration, mastering single-cell RNA-seq, Python, machine learning and AI applications in oncology.

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The Science of Aging

4 weeks | Online | Theory-led, visually rich and case-based

Molecular Biology, Longevity, Prevention, Omics & AI. A focused programme exploring ageing biology, longevity pathways, prevention, biomarkers, omics and AI.

No coding or wet-lab practicals. Designed for biomedical students, pharmacists, life science graduates, researchers, nutrition and wellness professionals.

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AI-Powered Drug Discovery: From Disease Biology to Generative Molecule Design

4 weeks | Online | Theory-led with computational concepts

This course is designed as a 4-week story-based journey into how artificial intelligence is transforming modern drug discovery.

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One-to-One Personalised Teaching

Flexible | Online | Topic-based | PhD-level expertise

Personalised teaching sessions designed around your learning goals in omics, bioinformatics, AI, molecular medicine, coding, data interpretation, research project development and advanced academic support.

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LSMA Background
Learner Value

Scientifically backed learning experience.

Certificate of Completion

Learners receive an LSMA certificate after completing the required programme activities, learning tasks and final outputs.

One-to-One Learning Support

Selected programmes include guided one-to-one support to help learners stay on track and complete outputs with confidence.

Structured Learning Materials

Organised study content, visual explanations, guided tasks, case examples and downloadable resources where applicable.

Portfolio-Based Outputs

Learners build outputs such as figures, reports, interpretation tasks, notebooks or mini-projects depending on the programme.

Learning Model

A Learning Experience Designed for the AI-Bio Era.

Visual Scientific Teaching

Complex topics are explained using diagrams, pathways, case studies, biological models and structured visual learning.

Computational Practical Workflows

Where appropriate, theory is connected to hands-on computational examples, biomedical data workflows and code demonstrations.

Case-Based Learning

Learners explore real biomedical questions across cancer, ageing, drug discovery, omics, biomarkers and precision medicine.

AI-Guided Learning Support

LSMA is developing an AI-enhanced learning environment to support explanation, revision and guided study.

Partnership Opportunities

LSMA welcomes conversations with universities, research centres, healthcare organisations, biotech companies and professional groups interested in training cohorts in omics, bioinformatics, AI and molecular medicine.

Universities Research Centres Healthcare Organisations Biotech & Pharma International Group Training Enquire About Partnerships

What Learners Will Be Able to Do

Learners leave with stronger conceptual understanding, clearer scientific language and more confidence in interpreting modern biomedical research, omics technologies, computational workflows and AI-driven healthcare innovation.

Understand Omics Interpret Biomedical Data Connect Biology with Code Apply AI & ML Build Scientific Outputs Strengthen Career Confidence
Why LSMA

Built for learners who want more than a traditional course.

Scientific Depth

Programmes are grounded in molecular biology, omics technologies, bioinformatics workflows and AI-driven biomedical research.

Connected Thinking

Learners connect mechanisms, biomarkers, datasets, AI tools and clinical meaning rather than studying topics in isolation.

Future-Focused Education

LSMA focuses on skills shaping modern biomedical science: multi-omics, AI, drug discovery and precision health.

Career-Relevant Learning

Designed for biomedical students, pharmacists, researchers, health professionals and life science learners.

Future Learning Pathways
LSMA will continue to expand beyond short programmes into longer structured learning pathways in multiomics, AI, molecular medicine, and translational research.

Start Your Journey Into AI-Powered Molecular Science

Explore LSMA’s July 2026 programmes and begin building the knowledge needed for the future of biomedical research, bioinformatics, molecular medicine, drug discovery and precision health.

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FAQ

Questions, answered.

Which programmes are opening in July 2026?
LSMA will launch its first group of online programmes, including the flagship Cancer Intelligence Summer Programme and specialist courses in ageing science, AI in drug discovery, molecular medicine, precision health, omics, and bioinformatics.
Who are these programmes for?
They are designed for biomedical students, pharmacy students, life science graduates, researchers, healthcare professionals, and learners interested in omics, AI, and precision health.
What level are the programmes suitable for?
Some programmes are beginner-friendly, while others include more advanced bioinformatics, coding, and AI-based workflows. Each programme will clearly state its level.
Do I need coding experience?
Not for all programmes. Some are theory-led, while others include practical computational work using Python, bioinformatics tools, and AI/ML examples.
Are all programmes practical?
No. Some programmes are mainly theory-led and case-based, while others include hands-on computational tasks.
Will there be practical computational work?
Yes, selected programmes will include practical workflows in bioinformatics, omics data interpretation, Python, single-cell concepts, and AI/ML applications.
Are the programmes online?
Yes. The July 2026 programmes will be delivered online.
How long are the programmes?
Programme length will vary. Some may run for around 4 weeks, while the flagship Cancer Intelligence Summer Programme is planned as an 8-week programme.
Will learners receive a certificate?
Yes. Learners who complete the programme requirements will receive an LSMA certificate of completion.
Will there be one-to-one support?
Selected programmes will include structured learner support, and the flagship programme is expected to include one-to-one guidance or check-ins.
Will I get access to learning materials?
Yes. Learners will receive structured materials such as recorded sessions, slides, reading resources, guided tasks, and practical materials where relevant.
Can international learners join?
Yes. The programmes are online and open to international learners.
How can I reserve my place?
Registration will open through the website. Early reservation is recommended, as places may be limited.
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