Public and Patient Involvement at Newcastle

"Studies designed with patients and the public involved from the beginning are much more likely to have a positive impact in the long run."

FATIGUE: My Life, Your Research

Registration is now open!

Fatigue: My life, your research

 

Date: Wednesday 3 April 2019

Venue: Grainger Suite, Life Science Centre, Times Square, Newcastle upon Tyne, NE1 4EP
Time: 11:00-15:00 (Registration from 10:30-11:00)

Refreshments will be provided

 

NIHR Clinical Research Network North East and North Cumbria is organising an event on Fatigue Research.

 

We aim to raise awareness of fatigue and explore how it affects many different conditions. In partnership with patients, we will discuss ways to develop new research studies to increase opportunities for patient and public involvement in fatigue research across our region.

 

The event is free and open to patients, carers, GPs and researchers who have an interest in Fatigue research.   

 

Our aims:

● Learn about current research taking place in fatigue across the region.

● Hear from patients living with fatigue and the impact it has on their lives.

● Share your views and take part in discussions to define what we mean by fatigue.

● Explore how we can develop new research studies in fatigue.

● Discover the support and resources available around the region in our marketplace.

 

The event is free but please register a place: https://nencfatigue.eventbrite.co.uk    

 

Understanding biology at omics and structural levels

Thursday 14th March in L2.4 

Understanding Biology at omics and structural levels

Dr Chichau Miau, Cambridge

The talk entitled "Understanding Biology at omics and structural levels" will cover some research work in single cell RNA-seq and computational structural biology. The single cell RNA-seq studies, which are parts of the Human Cell Atlas project, include understanding the sequencing platform, using artificial intelligence to correct the error in single cell experiments and an automatic cell type related clustering method. In addition, an application to the liver cell analysis will demonstrate how to understand the cell to cell variability, cell-cell interaction and cell development using single cell RNA-seq. The computational structural biology part will introduce RNA-Puzzles, which is a world-wide contest in RNA 3D structure prediction, and protein structure/function prediction.