Machine learning meets multi-omics for precision medicine

Machine learning meets multi-omics for precision medicine

Mini-symposium Machine learning meets multi-omics for precision medicine
June 14th, 2022 – ONLINE (14h20 – 17h00 CET time)

Programme

Simultaneous analysis of millions of individual cells empowered with machine learning has potential to revolutionize treatments of many challenging human diseases including cancer, inflammatory and neurological disorders.

Biology has become a data science. For instance, recent single-cell profiling technologies are capable of measuring thousands of variables for each of hundreds of thousands to millions of cells in a single sample. Machine learning models are beginning to provide significant improvements in extracting information sensitively and with speed from such datasets which are often high-dimensional, sparse, and complex. Consequently, last year has seen enormous advances in deep learning applications in a variety of single-cell omics assays including genomics, transcriptomics, proteomics, metabolomics and multi-omics integration. It is highly timely to discuss the potential impact of insights generated by multi-omics machine learning platforms on the patient journey, clinical research and wider pharmaceutical sector through this mini-conference.

We will cover examples and potential applications of deep learning on single-cell and other high throughput datasets in the context of:

• Early diagnosis
• Differential diagnosis against overlapping etiologies
• Patient stratification for therapy
• Design of clinical trials
• Understanding disease mechanisms
• Drug discovery and repurposing
• Lifestyle decisions

TALKS:

14:30 –14:40 Welcome and objectives; Peter Nestorov, CEO, Scailyte

14:40 –15:00 Machine learning on Multiomics

Christopher Yau, Professor of Artificial Intelligence at the University of Oxford and Fellow at the Alan Turing Institute, UK

15:00 –15:20 Multiomics in industry I

Asif Jan, Chief Data Officer, Owkin

15:20 –15:40 Clinical applications of Multiomics

Michael Brenner, Elizabeth Fay Brigham Professor of Medicine at Harvard Medical School, USA

15:40 –16:00 Multiomics in industry II

Philippe Menu, Chief Medical Officer, Sophia Genetics

16:00 –16:20 Break

BRAINSTORMING SESSIONS:

16:20 –16:50 Parallel session I (Translating Multiomics discoveries into applications for Pharma industry and Clinic)

Panel members: Industry: Dr. Philippe Menu (Sophia Genetics), Dr. Marcus Otte (Merck), Dr. Miguel Edwards (DeciBio); Academia: Prof. Michael Brenner (Harvard Medical School), Prof. Marco Ruella (University of Pennsylvania), Prof. Woongyang Park (Sungkyunkwan University, Samsung Genome Institute and Geninus); Dr Diana Stoycheva (moderator, Scailyte)

16:20 –16:50 Parallel session II (Data Science solutions and future prospects for Multiomics and machine learning)

Panel members: Industry: Dr. Asif Jan (Owkin), Academia: Prof. Christopher Yau (University of Oxford); Dr. Kieran Campbell (University of Toronto), Dr. Dennis Göhlsdorf (Scailyte); Sarah Carl (moderator, Scailyte)

16:50 –17:00 Concluding remarks, Corinne Solier, COO, Scailyte

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