Know how advanced AI analytics can transform your personalised medicines strategy
Multimodal Artificial Intelligence (AI)-enabled analytics are integrating insights from genomics, epigenomics, metabolomics, proteomics and transcriptomics. Allied to imaging data, laboratory tests, electronic health records and real-world data, AI is unlocking a deep understanding of the pathology of diseases and their treatment. So how and where can pharma best leverage value from its AI investment to inform and drive drug discovery, development and personalised medicines programs? For expert insights into the latest developments turn to this report.
Table of Contents
- Subject synopsis
- Research methodology and objectives
- Experts interviewed
- Key research objectives
- Key insights summary
- Issues and insights
- Current application of AI by the pharma industry
- Issue summary
- Questions
- Key insights
- Supporting quotes
- Intelligence exhibits
- Multiomics data to drive AI algorithms and the personalisation of medicine
- Issue summary
- Questions
- Key insights
- Supporting quotes
- Intelligence exhibits
- AI transforming the pharma business model
- Issue summary
- Questions
- Key insights
- Supporting quotes
- Intelligence exhibits
- Future applications of AI and multiomics in the evolution of personalised medicine
- Issue summary
- Questions
- Key insights
- Supporting quotes
- Intelligence exhibits
- Current application of AI by the pharma industry
- Further Reading
- Definitions
- Abbreviations
Companies Mentioned
- AbbVie
- Absci
- Adapsyn
- Amgen
- Andson Biotech
- Anima Biotech
- Artios
- AstraZeneca
- Astrogen
- Atomwise
- Aurora
- Baidu
- Bayer
- BenevolentAI
- Berg
- BioAI Health
- Biodesy
- Biogen
- BioSymetrics
- Biovista
- Black Diamond Therapeutics
- Boehringer Ingelheim
- Bristol Myers Squibb
- C4X Discovery
- Centogene
- Cyclica
- CytoReason
- Datavant
- Deep Forest Sciences
- DeepMind
- Dyno Therapeutics
- e-therapeutics
- Elix
- Envisagenics
- EQRx
- Evaxion Biotech
- Evotec
- Evozyne
- Exscientia
- Flatiron Health
- Fosun Pharma
- Foundation Medicine
- Genentech
- Genesis Therapeutics
- Genialis
- Gesund.ai
- GlaxoSmithKline
- GNS Healthcare
- Google Quantum AI
- Harbour BioMed
- IBM Research
- Iktos
- Illumina
- IndyGeneUS AI
- Innoplexus
- Insilico Medicine
- Insitro
- Johnson & Johnson
- Jubilant Therapeutics
- JW Pharmaceutical
- Kymera Therapeutics
- Lantheus
- Lilly
- Magna Labs
- MedImmune
- Merck & Co.
- Merck Group
- Microsoft
- Multiomic Health
- Nanna Therapeutics
- NEC Corporation
- Nimbus Therapeutics
- Novartis
- Novo Nordisk
- Nuritas
- NVIDIA
- Oncoceutics
- OneThree Biotech
- Ono Pharmaceutical
- OpenAI
- Orbis
- Owkin
- PathAI
- Pepper Bio
- Perceiv AI
- Pfizer
- Pharos iBio
- PhoreMost
- Poolbeg Pharma
- ProteinQure
- Qiagen
- QSimulate
- Qure.ai
- Recursion
- Relay Therapeutics
- Researchably
- Resonant Therapeutics
- Reverie Labs
- Roche
- Saama Technologies
- Sanofi
- Santen
- Schrödinger
- SciMar ONE
- Shionogi
- Sirenas
- SK Life Science
- Standigm
- STEM Healthcare
- Sumitomo Dainippon
- Sun Pharma
- Sun Pharma Advanced Research Company
- Syapse
- Systems Oncology
- Takeda
- Teijin Pharma
- Tencent
- Teva
- ThinkCyte
- twoXAR Turbine
- Verantos
- Verge Genomics
- Wave Life Sciences
- WuXi
- XtalPi
