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AI and Data Science in Multi-Omics for Human Health Workshop

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AI and Data Science in Multi-Omics for Human Health Workshop

27th - 28th July 2023 

Join us for a two-day networking workshop to find out more about ongoing progress, open opportunities, and challenges pertinent to AI Biomedicine and data science approach in multi-omics for human diseases. 

Hybrid - join us in-person or online

This event is hybrid - delegates have the option to attend in-person or online.  The online meeting links will be sent automatically after registration. 

Introduction

Biomedical AI and data science approaches applied to data from multi-omics, the electronic health record, patient-generated sources, and biomedical imaging have enabled remarkable advances toward biomarker discovery, health care delivery, preventing diseases, medical decision-making, diagnosis, therapy, understanding of patients from molecular to population levels, and ultimately population health. Next-generation machine learning and approaches including Bayesian and diffusion models, transformers,  and generative pre-trained algorithms have increasingly been applied to tackle and address critical human diseases and health challenges. These approaches in biomedical AI and data science are opening several opportunities and challenges of which there are unmet needs to discuss, dissect progress, and enhance interdisciplinary networks in order to advance the field.

AI generated image to depict data science in multi-omics for Human health

About the event 

This workshop brings together researchers and professionals who leverage AI and data science in biomedical, omics, clinical, bio-industries, and computer sciences sectors to discuss and dissect advances made in the field. The workshop will cover a variety of topics ranging from methodological and theory to the application of AI and data science in biomedical, multi-omics, clinical as well as industrial applications. While this workshop is enriched with several case studies, it critically includes multi-disciplinary and diverse talks from established and early-career researchers, clinicians, and expert professionals and from bio-industries in the field

This workshop is part of Northumbria University's Turing Network Funding and is supported by The Alan Turing Institute.

Please register early as places are limited. Lunch, refreshments and networking opportunities will be provided during the event.

For any queries about this workshop, please contact Emile Rugamika Chimusa (emile.chimusa@northumbria.ac.uk)

 

Speakers and Schedule 

Thursday 27 July

09:30 - 10:30

Registration, coffee and networking

10:30 - 10:35

Welcome and introduction
Professor Emile R Chimusa and Lindsay Connolly, Northumbria University

Chair: Professor Emile R Chimusa, Northumbria University
10:35 - 11:05 Machine learning approaches for understanding inter-patient heterogeneity in breast cancer
Dr. Syed Haider, The Institute of Cancer Research 

11:05 - 11:35

ML classifier to diagnose pulmonary hypertension using blood miRNA measures
Dr Niamh Errington, Imperial College London   

11:35 - 12:00 The use of Raman spectroscopy for the study of transporter proteins
Dr Dominic Gilchrist, Teesside University

12:00 - 13:00

Lunch and networking

Chair: Dr Yingke Chen, Northumbria University

13:00 - 13:25

Machine learning applications to drug response prediction in cancer cell lines using multi-omic profiles
Dr. Fatemeh Ahmadi Moughari, The Institute of Cancer Research, London

13:25 - 13:45

Using multi-omic approaches to reconstruct the human gut microbiome
Dr Sarah Forrester, University of York      

13:45 - 13:55

Explainable colon cancer stages prediction with multimodal biodata through attention-based Deep Neural Network
Olalekan Ogundipe, Northumbria University

13:55- 14:10

Molecular epidemiology of antibiotic resistance in global clone 2 of Acinetobacter baumannii
Varsha Varghese and Mithun Uday Gokul, Teesside University

14:10 - 14:40‎

Break and networking

Chairs: Dr Yingke Chen and Dr Danny Arends, Northumbria University

14:40 - 15:10

Data Science of Healthy Ageing
Professor Dennis Wang (Online), Imperial College London
15:10 - 15:40

Explainable AI and its application to biological and biomedical data
Professor Jaume Bacardit, Newcastle University

15:40 - 16:10 A strategic approach of AI and multi-omics for cancer research and cancer treatment
Dr. Thierry Michaux, B-B-E consultant
16:10 - 16:40

Prediction of cancer patients' survival based on their genomic copy number alterations
Dr. Arief Gusnanto,  ‎University of Leeds  

16:40 - 17:00

Concluding remarks
Professor Emile R Chimusa and Lindsay Connolly, Northumbria University

Friday 28 July

09:30 - 10:00

Registration, coffee and networking

10:00 - 10:20

Welcome and introduction
Professor Emile R. Chimusa, Northumbria University

Chair: Professor Emile R. Chimusa, Northumbria University

10:20 - 10:50

A Bayesian network approach incorporating imputation of missing data enables exploratory analysis of complex causal biological relationships
Professor Heather Cordell, Newcastle University ‎

10:50 - 11:‎20

Clinical informatics and AI innovation within healthcare
Dr Justin Green, Northumbria Healthcare NHS Foundation    

11:20 - 11:‎35

Student Mental Health Profiling for targeted and personalised interventions
Dr Carly Foster (online), Northumbria University, London Campus

11:35 - 12:00

AI’s latest achievements in the diagnosis of neurodegenerative diseases
Dr Nitsa Herzog, Northumbria University, London Campus

12:00 - 13:00

Lunch and networking

Professor Emile R. Chimusa and Dr Danny Arends, Northumbria University 

13:00 - 13:30

Antimicrobial resistance: The threat from the pink corner
Dr Bruno Silvester Lopes, Teesside University   

13:30 - 14:00

Multi-ancestry genome-wide study in >2.5 million individuals reveals heterogeneity in mechanistic pathways of type 2 diabetes and complications
Dr Ken Suzuki, University of Manchester

14:00 - 14:30

Leveraging fractal folding properties of brains for cortical morphometry
Dr Karoline Leiberg, University of Newcastle 

14:30 - 15:00‎

Break and networking

Chair: Dr Yingke Chen, Northumbria University

15:00 - 15:30

Dissecting challenges in genomics risk assessment
Professor Emile R Chimusa, Northumbria University

15:30 - 15:45

AI-Enabled Human Activity Recognition Using Doppler Sensing for E-Healthcare 
Dr Yordanka Karayaneva (online), Teesside University
15:45 - 16:15 Genetic modulation of lifespan and post-reproductive longevity in heterogeneous mice
Dr Danny Arends, Northumbria University  

16:15 - 16:20

Concluding remarks
Professor Emile R. Chimusa, Northumbria University

16:30 onwards Post-event - informal drinks (networking)
Local venue tbc

Event information

  • The event is free to attend
  • Registrants will receive event communications via direct email and the Turing email group.

Dates/times

  • Thursday 27th July 09:30-17:00  |  Friday 28th July 09:30-16:30

Venue information

Online attendance

  • The online meeting links will be emailed to registrants 24-48 hours before the event start date. Some sessions may be recorded.

Event Registration Form

The event is free to attend. Please register below to confirm your place.  If you are attending online, the meeting links will be sent automatically after registration.

Event Details


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