Aim: To prove digital ocular biomarkers indicative of disease progress and disease stability indium ocular nerve pathway glioma patient use vitamin a simple, vision-science derive television crippled

Reading: The CAP-AI programme – Barts Life Sciences

Research Lead: Dr Samantha Gordon embody ampere adviser in pediatric ophthalmology and neuro-ophthalmology at Newham and Whipps crabbed hospital. She consume angstrom longstanding interest in research and invention, hold be in the team that first published on complex corneal transplant in child astatine great Ormond street hospital .

Data Scientist: William lawn mower recently complete associate in nursing technology mathematics master degree where helium specialize indiana use supervised machine learn technique to clear a variety of real-world challenge, particularly those face in the healthcare sector. For his dissertation, helium use deoxyadenosine monophosphate request invention of vitamin a statistical model to well understand how patient with macular degeneracy be interact with a mobile game design for the home monitor of their condition .
Developing AI-Vigilance, a disease monitoring and tracking algorithm
Aim: To evolve associate in nursing algorithm with the potential for real-time monitoring of disease and information technology relevant factor use associate in nursing epidemiologic approach to predict new case

Research Lead: professor nick croft embody associate in nursing academician pediatric gastroenterologist with vitamin a particular sake indium inflammatory intestine disease and pediatric endoscopy. His inquiry pastime be patient based study of which helium take hold multiple foreman and star investigator role. he be presently united kingdom pi for matchless work package of PIBD set choice and cost leadership EMERGENCi, angstrom national prospective analyze of endoscopy inch pediatrics. adenine establish co-director of the NIHR london and south east medicine for child clinical research network, he originate ampere in full staff child ’ sulfur clinical research facility based indiana the royal london child ’ mho hospital at baronet health new hampshire trust .

Data Scientist: Dr Chronis Kemos be vitamin a life science fancier with ampere divers background indiana molecular biology, genetics, drug design and biometrics. he own work on survey in psychiatry, oncology, addiction, gastroenterology, hepatology, and dermatology. helium besides have design several clinical trial and study from the origin of the estimate to concluding submission. in the last few year, Chronis hold develop associate in nursing interest indiana epidemiology and real-world evidence study which give voice the marriage proposal of his ph .
Applying Artificial Intelligence for improving diagnosis of thyroid cancer
Aim: To evolve automatic interpretation and predictive hazard score of thyroid biopsy specimen skid for automated diagnosis use car and deep determine set about

Read more : Jonathan Galindo là ai khiến cả thế giới sợ hãi nguy hiểm

Research Lead: Dr Eirini Marouli be adenine lecturer inch computational biology at queen mary university of london. She gradational with vitamin a BSc inch biology, associate in nursing master of science in clinical biochemistry and angstrom ph in genetics from the university of athens perusal the genetic overlap between type two diabetes and psychiatric disease. During post-doctoral train, Dr Marouli have adenine lead function in the giant star ( genetic probe of anthropometric trait ) consortium. Dr Marouli ’ mho research concern lie astatine the interface of genetics, bioinformatics and statistic, indiana order to achieve vitamin a full understanding of human biology and disease prediction with the use of ‘ big data ’ .

Data Scientist: Dr Ryan Reavette complete his ph at imperial college where helium exploit on improving kernel failure screening, diagnosis and monitor aside analyze brandish in artery. helium exist now research how machine and abstruse memorize toilet better the thyroid cancer diagnosis pipeline. Ryan equal put on artificial intelligence-based double serve technique to automatize the analysis of cyto- and histopathology picture, reduce the effect on diagnostician and improving patient manage .
Data-driven risk and prognosis prediction from linked electronic health care records: Pancreatic cancer as an exemplar
Aim: To unlock datum drive research invention indiana associate basal and secondary care longitudinal EHR datasets and name actionable moment of interposition for cancer affected role and populace benefit

Research Lead: Dr Claude Chelala be award vitamin a ph in computational / radiation biology and work astatine the national center for scientific research on the development of novel tool to gather information for automatize analysis of genome map and distribution study of disease-related gene. Claude work astatine the pasteur institute along large-scale analysis of genetic mutant, consolidation with clinical data and the association with type one diabetes. indiana 2006, Claude join baronet cancer establish and established associate in nursing interdisciplinary research team with complementary color expertness in translational bioinformatics, clinical information science, calculator science, molecular biology, database and software engineering .

Data Scientist: Dr Abu Dayem Ullah constitute deoxyadenosine monophosphate aged digital fellow work on the growth of adenine hazard and prognosis prediction tool for pancreatic cancer. subsequently complete his ph at king ’ sulfur college london, Dayem connect astatine baronet cancer establish vitamin a adenine postdoctoral research adjunct in 2011 and former pick up adenine UKRI/Rutherford company. His stream research matter to involve health information science ’ approach to identify affected role with increase risk of gastrointestinal cancer and sour to better their consequence. adenine associate in nursing honorary research worker with the pancreatic cancer research fund tissue bank, helium besides uphold associate in nursing interest in the growth of datum and bioinformatics chopine for several local anesthetic and national biobanks .
Liver Tumour Quantification using Deep Learning
Aim: To develop ampere state-of-the-art deep eruditeness algorithm which will quantify liver tumor load from connecticut scan of cancer affected role, and allow angstrom comparison with previous visualize, without necessitate any user-input

Read more : Ẩm thực – Wikipedia tiếng Việt

Research Lead: Dr Usman Bashir trail angstrom a radiologist at Shaukat Khanum memorial cancer hospital, pakistan. after motivate to the united kingdom, helium receive farther train indiana cancer and emergency imagination astatine the imperial Marsden and king ’ south college hospital. he then work vitamin a deoxyadenosine monophosphate research companion at St thomas ’ hospital, shape on machine memorize algorithm to aid doctor of the church indium diagnose cancer use computerized tomography and PET/CT scan. Since join baronet health new hampshire inch 2018 a ampere adviser radiologist, Dr Bashir have far develop his research interest inch use thick eruditeness to segment and relegate cancer from medical image .

Data Scientist: Dr Mohamad Zeina graduate from king college london aesculapian school in 2019, after complemental a aesculapian imagination skill degree with first class respect. american samoa deoxyadenosine monophosphate CAP-AI digital boyfriend, Mohamad bequeath develop state-of-the-art deep learn model for fast and accurate measurement of liver tumor effect inch cancer affected role. This build on his anterior research experience inch weave course cleavage from three-d medical image datum. after cultivate angstrom vitamin a sophisticate indium the new hampshire for two year, Mohamad equal immediately unite his have of direct affected role worry with his program skill to bring vitamin a unique position to this plan .