QUANTUM COMPUTING & HPC IN PHARMA

 

 

With vast data sets come vast computational challenges. Quantum Computing a subject that we once science fiction is becoming a reality. It has a perfect use case in discovering drug structures and exploring highly complexed biological systems. To fail to prepare for the quantum revolution is a great mistake. Here we will learn where the space is and how companies are preparing. We will look into use cases and discuss pre competitive collaboration.

THIS YEAR’S WORLD LEADING QUANTUM COMPUTING & HPC IN PHARMA SPEAKERS

 

 

 

Quantum Computing, Tuesday 2 November 2021

08:40

Opening Remarks

Trevor Howe
09:00

Looking at the bigger picture: How do we make sure that we have the full picture with big data experiments

Joachim Reischl
09:20

Deep Medicine – towards the next generation of software-based precision medicine diagnostics

  • Evolution of precision medicine
  • AI in predicting clinical outcome
  • Software as Medical Device as Companion Diagnostic
Panel discussion
09:40

Essential Tools for Accelerating Pipeline Productivity & Success

What tools are in your toolkit? Join this leading biopharma panel discussion to find out how to give your AI-based drug discovery and development program a competitive edge and increase program success.
10:40

Networking Break

13:20

Networking Lunch Break

16:20

Networking Break

18:00

Neri & Sons Band & Networking Drinks Reception

last published: 27/Jul/21 14:25

Quantum Computing, Wednesday 3 November 2021

Steffen Roellinger
09:00

Decentralised Clinical Trials

  • Discussing the adoption of decentralised clinical trials at Bayer
  • New digital addoption
  • The Bayer trials transformaiton over COVID-19
Andrew Kasarskis
09:00

Digital transformation over COVID-19 – Challenges for the future and perpetuating the efforts

  • COVID-19 lead to digital innovation by necessity, including telehealth, new apps and digital technologies, and data fusion and sharing advances.
  • Large opportunities exist to do much better with learning from data, however.This requires the following operational and cultural change:
-Proactive collection and use of coherent data sets as a baseline for public health and the infrastructure development to support that work.-Recommitment to evidence-based medicine and timely, rigorous assessment of clinical utility through ongoing clinical research with well-powered studies of strong statistical design coupled to careful monitoring of large observational data.
Said Ismail
09:20

Qatar Genome; Big data from an underrepresented region

  • Overview of the Qatar Genome Project (QGP)
  • Contributions to Middle East Genomics
  • QGP role COVID-19 research
  • Strategy for precision medicine implementation
09:20

SevenBridges

Panel discussion
09:40

BC Platforms - Keynote Panel

Paul Agapow
09:40

How to be right: effective use of clinical models and machine learning in the clinic

    There is an increasing demand for a sophisticated model to predict patient outcomes and suggest treatmentsUnfortunately, most proposed clinical models are not fit for purpose, being biased, unvalidated, or irrelevantHere we suggest best practices for the development and deployment of complex ML algorithms, resulting in more successful and effective models
10:20

Networking Break + Speed Networking

13:00

Networking Lunch Break

16:00

Networking Break

18:00

Drinks Reception

last published: 27/Jul/21 14:25

Quantum Computing, Thursday 4 November 2021

Scott Chandler
09:00

Genetic Drivers of Response to Immunotherapy: Going Beyond the Tumor

09:20

GenomeSys

Thomas Hach
10:40

The Future of Precision Healthcare – Multi-Omics Humanized

  • Personalization of healthcare, not only of drug treatment, is the future
  • Patient influence, patient data and patient-desired outcomes are the most disruptive factors
  • How can we move from sterile biosignatures to a humanized approach?
Quantum Computing
11:45

Chair's Remarks

Ian Pepper
Quantum Computing
11:50

Quantum Computing at Novartis – Case Studies

Govinda Bhisetti
Quantum Computing
12:10

Quantum computing at Biogen – Real use case experimentation

Kevin Hua
Quantum Computing
12:30

A Quantum Computing Roadmap in Life Sciences

Quantum computing can be a disruptive technology for life sciences. We adopt a three-step strategy to develop the technology at Bayer
  • To be engaged by working with external partners and internal business divisions
  • To get ready by building quantum computing capability and by developing quantum algorithms for key computing challenges
  • To generate value by leveraging existing quantum technology to solve the real-world problems
Panel discussion
Quantum Computing
14:00

Making Quantum Computing in Pharma a Reality

Stefan Bekiranov
Quantum Computing
14:50

Development and Assessment of a Quantum Genomic Classifier

  • Kernel-based quantum classifier developed for genomic applications capable of exponential speed-up compared to classical counterpart
  • Quantum embeddings or data encodings to enable complex decision boundaries and efficient data input into a quantum computer
  • Current fidelity of quantum computers limit the number of SWAP gates that can be used to compute inner product required for classification
last published: 27/Jul/21 14:25

GET INVOLVED AT BIODATA WORLD CONGRESS

 

 

TO SPONSOR


Alistair Wilmot
alistair.wilmot@terrapinn.com
0207 092 1174

 

 

TO SPEAK


Edward Glanville

edward.glanville@terrapinn.com
0207 092 1042

 

 

MARKETING OPPORTUNITIES


Onika Akhtar
onika.akhtar@terrapinn.com
0207 092 1034