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- AbbVie
- AI Proteins
- Aitia
- AstralBio
- AstraZeneca
- Bayer
- BigHat Biosciences
- Boehringer Ingelheim
- Brightseed
- Bristol Myers Squibb
- Carebot
- Caris Life Sciences
- Certis Oncology Solutions
- Charles River Laboratories
- Click Therapeutics
- ConcertAI
- Dyno Therapeutics
- Eko Health
- Eli Lilly
- Formation Bio
- Genentech
- Genesis Therapeutics
|
- Gilead
- Google
- Google DeepMind
- GS
- K Haleon
- Harbour BioMed
- Iambic Therapeutics
- iBio
- Immunai
- Incyte
- Inimmune
- Insilico Medicine
- invoX Pharma
- Johnson & Johnson
- Lundbeck
- Menarini
- Merck & Co.
- Microsoft
- Moderna
- Novartis
- Novo Nordisk
- Nvidia
|
- OpenAI
- Optellum
- Otsuka
- Owkin
- Paige.AI
- Path AI
- Pathos
- Pfizer
- Qureight
- Rad AI
- Rein Therapeutics
- Roche
- »ç³ëÇÇ
- Servier
- Snowflake
- Takeda
- Tempus
- Tenacia Biotechnology
- Tevogen Bio
- Therasid Bioscience
- Valo Health
- Variational AI
|
LSH
This report explores the transformative role of artificial intelligence in personalised medicine, focusing on its application in drug discovery and clinical decision making. It provides an in-depth analysis of how AI-enabled technologies are mitigating risks in drug development, enhancing patient stratification and facilitating the personalisation of care. The report also highlights real-world use cases and lessons learned from deploying AI to personalise medical care, offering a comprehensive overview for biopharma professionals looking to navigate the evolving landscape of AI-driven healthcare solutions.
Gain insights into the significant impact of AI on the development of personalised therapies, the key challenges in integrating AI with human capabilities and the future opportunities for biopharma to leverage AI in improving market access and reimbursement strategies.
Key Questions Answered:
- 1. How has AI significantly impacted the development of personalised medicines?
- 2. In what ways have AI-enabled technologies mitigated risks in drug development and personalisation?
- 3. What are the key challenges in utilising AI to enhance human capabilities in target identification and personalised medicine development?
- 4. How has AI been deployed to improve the personalisation of care, and what lessons have been learned?
- 5. What are the key trends and future opportunities for leveraging AI to enhance market access and reimbursement of precision medicine?
- 6. How can biopharma companies overcome data hurdles to effectively integrate AI in personalised medicine initiatives?
Key Companies:
- AbbVie
- AI Proteins
- Aitia
- AstralBio
- AstraZeneca
- Bayer
- BigHat Biosciences
- Boehringer Ingelheim
- Brightseed
- Bristol Myers Squibb
- Carebot
- Caris Life Sciences
- Certis Oncology Solutions
- Charles River Laboratories
- Click Therapeutics
- ConcertAI
- Dyno Therapeutics
- Eko Health
- Eli Lilly
- Formation Bio
- Genentech
- Genesis Therapeutics
|
- Gilead
- Google
- Google DeepMind
- GS
- K Haleon
- Harbour BioMed
- Iambic Therapeutics
- iBio
- Immunai
- Incyte
- Inimmune
- Insilico Medicine
- invoX Pharma
- Johnson & Johnson
- Lundbeck
- Menarini
- Merck & Co.
- Microsoft
- Moderna
- Novartis
- Novo Nordisk
- Nvidia
|
- OpenAI
- Optellum
- Otsuka
- Owkin
- Paige.AI
- Path AI
- Pathos
- Pfizer
- Qureight
- Rad AI
- Rein Therapeutics
- Roche
- Sanofi
- Servier
- Snowflake
- Takeda
- Tempus
- Tenacia Biotechnology
- Tevogen Bio
- Therasid Bioscience
- Valo Health
- Variational AI
|
Partial List of Participating Experts:
- Director of AI Capability, AstraZeneca, Spain (own personal views)
- CEO, Insilico Medicine, US
- Digital, Strategy and Innovation Director, The Stem, US
- Vice Chairman and founding CEO, ConcertAI, US
- former Head of UK/EU Clinical Research at Spectral MD, UK
- CEO, LucidQuest, UK
Methodology:
Dossier reports are developed from independent and concise analysis derived from original industry surveys and in-depth interviews with industry thought leaders. Reports analyse in detail significant developments and market trends that pharma executives need to understand if they are to manage the opportunities and challenges that lie ahead. The focus of each report is defined by a review of the secondary literature and any knowledge gaps identified. Based on this initial research, an evidence-based and expert-informed discussion guide is developed to ensure the research answers the most critical questions. Additionally, robust screening criteria are established to ensure that those interviewed are qualified in terms of their experience, knowledge and stature to speak on the topic.
What makes our reports different?
FirstWord Reports, a trusted industry leader with an exclusive focus on the pharmaceutical sector, delivers in-depth, actionable insights for biopharma professionals and decision-makers. Our deep industry knowledge enables us to provide relevant and valuable insights that help you identify emerging trends and navigate complex challenges effectively. Backed by extensive research and independent, impartial insights from leading experts and KOLs, our reports deliver the accuracy and reliability you need. With exclusive access to interviews and data unavailable elsewhere, along with ongoing market monitoring, we give you a comprehensive view of market dynamics. Covering over 40 dynamic disease areas and providing physician intelligence, including KOL insights and quantitative physician surveys, as well as industry expert views on issues in medical affairs, digital health, sales & marketing, market access, and other areas, our reports empower you to make smarter, data-driven decisions and maintain a competitive edge in a fast-moving industry.