Curing the incurable: RNA isoforms may hold the key to defeating Alzheimer’s disease

Alzheimer’s disease causes excessive neuronal cell death.

Groundbreaking research on RNA isoforms in Alzheimer’s disease (AD) has revealed another layer of genetic complexity that has been previously overlooked. Using cutting-edge sequencing technology, Dr. Mark Ebbert and colleagues at the Sanders-Brown Center on Aging at the University of Kentucky, USA, performed a detailed analysis of RNA isoforms in the human brain. They discovered multiple, previously unknown RNA isoforms […]

Read More… from Curing the incurable: RNA isoforms may hold the key to defeating Alzheimer’s disease

Computational biology: How mathematical modelling can help cure cancer

Susan Mertins uses computational modelling to build virtual cells and machine learning to develop new approaches to treating cancer.

Understanding how living cells work is difficult due to the number of varied and complex processes occurring in them. This complexity can be elucidated by breaking these processes down into simpler components and focusing on a particular mechanism. One approach to this study is to use mathematical equations – the basis of computational modelling. Dr Susan Mertins, the founder and […]

Read More… from Computational biology: How mathematical modelling can help cure cancer

Moving closer to ideal care for heart failure patients using eHealth and Artificial Intelligence

DoctorME provides individualised medical advice.

Heart failure (HF) is a growing challenge which imposes unsustainable demands on healthcare systems worldwide. Professor Hans-Peter Brunner-La Rocca and Hesam Amin from Maastricht University Medical Center, are leading the international PASSION-HF project, which is developing an Artificial Intelligence (AI) driven eHealth system that enables self-care for patients with chronic HF. AI, personalised coaching, and serious gaming are included, providing […]

Read More… from Moving closer to ideal care for heart failure patients using eHealth and Artificial Intelligence

Computational methods of researching cancer treatments

In this research article: Dr Haibe-Kains’ research focuses on the computational integration of high dimensional molecular data to analyse multiple facets of carcinogenesis.

Artificial Intelligence (AI) and machine learning algorithms have the potential to bring substantial advances in the fields of research exploring complex diseases and trying to identify effective treatments. Dr Benjamin Haibe-Kains, working at The Princess Margaret Cancer Centre in Toronto, has spent over a decade developing machine learning tools and databases that could help scientists gain a better understanding of […]

Read More… from Computational methods of researching cancer treatments