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Revolutionising Pharma: AI's Impact on the Value Chain
The pharma sector is harnessing the power of AI across various key areas.
For instance, in drug discovery and development, AI algorithms can predict molecule properties and identify potential drug candidates, saving time and costs. AI is also aiding in target identification, analysing biological data to prioritise effective drug targets. Predictive analysis helps assess drug success or failure by considering factors like chemical structure and clinical trial data. AI optimises clinical trial design by identifying patient populations likely to benefit from a drug. AI in healthcare helps in many ways. It repurposes drugs, tailors treatments, and aids in disease diagnosis with image analysis, and plays a role in patient-facing applications. This saves time, reduces costs, and improves accuracy.
While AI offers immense potential, it is crucial to maintain human oversight, validation, and regulatory compliance to ensure patient safety and ethical standards are met. Therefore, to determine the greatest ROI, identify the most mature application, and decide where to focus or pull back in AI implementation, careful consideration is necessary.
Join this meeting to collaboratively discuss the potential of AI across the pharma value chain :
- Who’s leveraging artificial intelligence in pharma today?
- Along the value chain, where is the greatest opportunity for the application of AI? What are the most impactful areas where pharma companies can leverage AI to build long term ROI’s?
- What are the challenges in implementing AI models and utilising predictive modelling on a vast scale?
We would like to remind you that our meetings are small and intimate sessions with a limited number of seats available, therefore we rely on your attendance and participation to ensure a high quality and valuable meeting for all. If you are confirmed for this meeting we ask if you can please ensure your attendance on the day.
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Revolutionising Pharma: AI's Impact on the Value Chain
Revolutionising Pharma: AI's Impact on the Value Chain
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Don't miss your opportunity to connect with senior leaders to shape the future of digital health. Because only if you are prepared now can you lead the future.
The pharma sector is harnessing the power of AI across various key areas.
For instance, in drug discovery and development, AI algorithms can predict molecule properties and identify potential drug candidates, saving time and costs. AI is also aiding in target identification, analysing biological data to prioritise effective drug targets. Predictive analysis helps assess drug success or failure by considering factors like chemical structure and clinical trial data. AI optimises clinical trial design by identifying patient populations likely to benefit from a drug. AI in healthcare helps in many ways. It repurposes drugs, tailors treatments, and aids in disease diagnosis with image analysis, and plays a role in patient-facing applications. This saves time, reduces costs, and improves accuracy.
While AI offers immense potential, it is crucial to maintain human oversight, validation, and regulatory compliance to ensure patient safety and ethical standards are met. Therefore, to determine the greatest ROI, identify the most mature application, and decide where to focus or pull back in AI implementation, careful consideration is necessary.
Join this meeting to collaboratively discuss the potential of AI across the pharma value chain :
- Who’s leveraging artificial intelligence in pharma today?
- Along the value chain, where is the greatest opportunity for the application of AI? What are the most impactful areas where pharma companies can leverage AI to build long term ROI’s?
- What are the challenges in implementing AI models and utilising predictive modelling on a vast scale?
We would like to remind you that our meetings are small and intimate sessions with a limited number of seats available, therefore we rely on your attendance and participation to ensure a high quality and valuable meeting for all. If you are confirmed for this meeting we ask if you can please ensure your attendance on the day.
Participants
Participants
Jeremy Forman
Executive Director Data Strategy, Data Science, & Data Platforms at Seagen
Maxime Champain
Lead, BDH External Innovation & Alliances, Search & Evaluation, Biogen
Nemanja (Nick) Kovačev
MedTech Expert, HTEC Group
Elisabeth Tsechanski
Strategic Experience Designer, Daiichi Sankyo Europe GmbH
Anna-Maria Heidinger
Head of Digital Innovation Hub Europe, Daiichi Sankyo Europe GmbH
Alix Holstein
Project Manager, Merantix Momentum
Ricardo C. Berrios
Executive Founder, Adhera Health Inc
Yin He
Healthcare and Life Sciences Startup Business Development, Amazon Web Services
Arlindo Ferreira
Senior Medical Director, Resilience Care
Alette Brinth
Director of Digital Innovation, Novartis
Kausar Riaz Ahmed
Director, Group Lead, Pfizer
Up to 12
Revolutionising Pharma: AI's Impact on the Value Chain
The pharma sector is harnessing the power of AI across various key areas.
For instance, in drug discovery and development, AI algorithms can predict molecule properties and identify potential drug candidates, saving time and costs. AI is also aiding in target identification, analysing biological data to prioritise effective drug targets. Predictive analysis helps assess drug success or failure by considering factors like chemical structure and clinical trial data. AI optimises clinical trial design by identifying patient populations likely to benefit from a drug. AI in healthcare helps in many ways. It repurposes drugs, tailors treatments, and aids in disease diagnosis with image analysis, and plays a role in patient-facing applications. This saves time, reduces costs, and improves accuracy.
While AI offers immense potential, it is crucial to maintain human oversight, validation, and regulatory compliance to ensure patient safety and ethical standards are met. Therefore, to determine the greatest ROI, identify the most mature application, and decide where to focus or pull back in AI implementation, careful consideration is necessary.
Join this meeting to collaboratively discuss the potential of AI across the pharma value chain :
- Who’s leveraging artificial intelligence in pharma today?
- Along the value chain, where is the greatest opportunity for the application of AI? What are the most impactful areas where pharma companies can leverage AI to build long term ROI’s?
- What are the challenges in implementing AI models and utilising predictive modelling on a vast scale?
We would like to remind you that our meetings are small and intimate sessions with a limited number of seats available, therefore we rely on your attendance and participation to ensure a high quality and valuable meeting for all. If you are confirmed for this meeting we ask if you can please ensure your attendance on the day.
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Revolutionising Pharma: AI's Impact on the Value Chain
Revolutionising Pharma: AI's Impact on the Value Chain
Revolutionising Pharma: AI's Impact on the Value Chain
The pharma sector is harnessing the power of AI across various key areas.
For instance, in drug discovery and development, AI algorithms can predict molecule properties and identify potential drug candidates, saving time and costs. AI is also aiding in target identification, analysing biological data to prioritise effective drug targets. Predictive analysis helps assess drug success or failure by considering factors like chemical structure and clinical trial data. AI optimises clinical trial design by identifying patient populations likely to benefit from a drug. AI in healthcare helps in many ways. It repurposes drugs, tailors treatments, and aids in disease diagnosis with image analysis, and plays a role in patient-facing applications. This saves time, reduces costs, and improves accuracy.
While AI offers immense potential, it is crucial to maintain human oversight, validation, and regulatory compliance to ensure patient safety and ethical standards are met. Therefore, to determine the greatest ROI, identify the most mature application, and decide where to focus or pull back in AI implementation, careful consideration is necessary.
Join this meeting to collaboratively discuss the potential of AI across the pharma value chain :
- Who’s leveraging artificial intelligence in pharma today?
- Along the value chain, where is the greatest opportunity for the application of AI? What are the most impactful areas where pharma companies can leverage AI to build long term ROI’s?
- What are the challenges in implementing AI models and utilising predictive modelling on a vast scale?
We would like to remind you that our meetings are small and intimate sessions with a limited number of seats available, therefore we rely on your attendance and participation to ensure a high quality and valuable meeting for all. If you are confirmed for this meeting we ask if you can please ensure your attendance on the day.
Join this group of peers and get a feel of what it's like to belong to a community of digital health gamechangers.
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What are HealthXL Virtual Meetings?
HealthXL Virtual Meetings are private group meetings limited to 10 people across different demographic and stakeholder groups. For 75 minutes, you take a deep dive into your chosen topic and explore it from different angles. Virtual Meetings are not webinars: There is no audience, no recording and no hiding behind a screen. You actively participate in a discussion to solve your present challenges and design the future of digital health. And through our Community Hub, you stay up-to-date on the latest news and insights, allowing you to fully immerse yourself in the topic before, during and after.
How can I connect with other digital health leaders?
HealthXL brings together gamechangers of digital health to support honest discussions in small, private groups. In our Community Hub, for which you can register for free, you can follow a wide range of communities across telehealth, digital therapeutics, patient engagement and more. As a full HealthXL member, you also get access to curated news, the latest insights and an expert network to connect with. Join exclusive virtual meetings to exchange strategies, viewpoints and learnings with members from like-minded yet diverse stakeholder groups.
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As member of HealthXL, you join a community of digital health thought leaders, innovators and game changers around the world. With your membership, you get access to hundreds of insights, reports and resources. You can browse a database with over 90k healthcare organizations and view their active strategic partnerships, commercial relationships, latest funding rounds and research. Through our in-house curated digital health newsfeed, you stay informed on the most impactful news and you can regularly meet with members to share learnings, discuss the latest developments and connect with peers of different demographical stakeholder groups. Contact us today to find out about pricing options.
Through focus groups, we bring together 6-10 thought leaders and industry stakeholders in a series of virtual meetings to collaborate around a defined topic. Each meeting gives the group the opportunity to examine, analyze and collaborate with one another around a digital health topic as well as produce a shareable result.
