Cambridge Cardiovascular Annual Research Symposium - April 2021

Online event

BAS/BSCR at the BCS Annual Conference 2021

Virtual

Machine learning models for diagnosing COVID-19 are not yet suitable for clinical use

Systematic review finds that machine learning models for detecting and diagnosing COVID-19 from medical images have major flaws and biases, making them unsuitable for use in patients. However, researchers have suggested ways to remedy the problem.

Radiomics in stroke medicine: assessing robustness and feasibility for stroke prevention

A cross-discipline group of researchers, led by MB PhD student Elizabeth Le and PI James Rudd, have published in Nature Scientific Reports the first attempt to determine whether radiomics might be useful for predicting stroke in patients with carotid artery disease. Radiomics refers to the harnessing of information 'hidden' within medical images for diagnostic and prognostic purposes, and is being increasingly used in oncology.

New method developed for ‘up-sizing’ mini organs used in medical research

A team of engineers and scientists has developed a method of ‘up-sizing’ organoids: miniature collections of cells which mimic the behaviour of various organs and are promising tools for the study of human biology and disease.

When Symptoms Don't Stop

Treating those most severely affected by COVID-19 has necessarily taken priority during the pandemic. But could long COVID be the next wave of the crisis?

Our hearts and minds are more closely linked than we thought, suggests University of Cambridge study

Professor Emanuele Di Angelantonio, BHF-funded researcher at the University of Cambridge, said: “This is the largest evidence to date that feelings related to depression are associated with a person’s chance of having heart disease or stroke in the future.

SIRT6 Protects Smooth Muscle Cells from Senescence and Reduces Atherosclerosis

SIRT6 protein expression is reduced in human and mouse plaque VSMCs and is positively regulated by CHIP. SIRT6 regulates telomere maintenance and VSMC lifespan, and inhibits atherogenesis, all dependent on its deacetylase activity. Our data shows that endogenous SIRT6 deacetylase is an important and unrecognized inhibitor of VSMC senescence and atherosclerosis.