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.
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.