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 On-demand Webinar

AI in Pharma -
Where are We Now?

The Healthcare industry is moving towards a data-driven approach, leading to an increase in the adoption of Artificial Intelligence (AI) for utilizing data and accelerating innovation. Hence, it becomes essential to understand AI and its role across the pharma value chain.

Dive into this webinar to know the impact of AI in pharma value chain, medical imaging and drug discovery.

Session 01: AI in Pharma Value Chain

20 mins

Modern day pharma industry demands heavy investments in R&D to cater to the development of new and innovative treatments. AI not only makes it easier and faster to derive insights from multiple datasets but also makes it interoperable across the pharma value chain.

In this session, we dive into the core concepts of AI and uncover key trends across industries. We also discuss the explosion of AI within the pharma value chain while examining crucial pain points experienced by pharma companies across the world and understand how the industry can leverage AI for greater impact.

ashish bharti-1

Ashish Bharti

Solutions Leader, HCLS, Quantiphi

Session 02: AI in Medical Imaging

20 mins

AI in medical imaging has been one of the most promising areas of health innovation. The medical imaging industry is increasingly moving towards the adoption of AI to tackle the increasing amount of medical images taken annually, and the complexity involved in image interpretation and subsequent diagnosis.
Today, we present AI’s potential in overcoming key industry challenges in medical imaging and highlight how Quantiphi helped Johns Hopkins University leverage ML to segment CT scans to predetermine and localize intracerebral hemorrhage, a sudden bleeding into the brain tissue, for the phase 3 of their Clinical Trial for Brain Injuries.

mayukh B

Mayukh Bose

Machine Learning Architect, HCLS, Quantiphi

Session 03: AI in Drug Discovery

20 mins

The drug discovery process requires a tremendous amount of investment and time to develop new drugs due to the huge scale and complexity involved in analyzing biochemicals and their interactions. However, recent advancements in AI have shown the potential to comprehensively understand such molecular complexities through multidimensional data and apply it to innovative treatments faster than ever.

The session focuses on how AI can unlock the potential of transforming the drug discovery space with cutting-edge innovation in technology, and accelerate drug discovery through the use of standardized frameworks. We share Quantiphi’s pioneering research in this domain with an example of predicting potential drugs for neutralizing covid 19 variants using molecular structure prediction.

Vishal

Vishal Pagidipally

HCLS Solution Architect, Quantiphi
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Remember:

  • Bullets are great
  • For spelling out benefits and
  • Turning visitors into leads.
placeholder_200x200

Something Powerful

Tell The Reader More

The headline and subheader tells us what you're offering, and the form header closes the deal. Over here you can explain why your offer is so great it's worth filling out a form for.

Remember:

  • Bullets are great
  • For spelling out benefits and
  • Turning visitors into leads.


Speakers

LOREM

Lorem

LOREM

LOrem

LOREM

LOrem

Harish_Verma

josh coffy

Fully Caffeinated Founder, Flight Media

josh coffy

Fully Caffeinated Founder, Flight Media

Agenda

In this webinar, we will cover:

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About Quantiphi

Quantiphi is an award-winning AI-first digital engineering company driven by the desire to reimagine and realize transformational opportunities at the heart of business. We are passionate about our customers and obsessed with problem-solving to make products smarter, customer experiences frictionless, processes autonomous and businesses safer.

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