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Enabling the collaborative research in Precision Health that is instrumental in the transition to preventative medicine



Gemma Bale

gmb49@cam.ac.uk
Engineering, Physics

Bioengineering  

My lab develops and validates new optical methods to monitor brain function and metabolism non-invasively. The lab currently focusses on near infrared spectroscopy (NIRS)-based methods to perform in-vivo monitoring of metabolic markers such as haemoglobin oxygenation, mitochondrial function and blood flow. We are interested in pioneering tools and techniques to monitor relevant physiology for both basic science and medical applications. Our work is highly translational and we work closely with clinical partners in Addenbrooke’s Hospital to deliver technologies that progress medical therapeutics.


clinical trials  biomedical optics  dementia  neuroimaging  

Jeremy Baumberg

jjb12@cam.ac.uk
Cavendish Laboratory

Technology  Nanotechnology  

Intelligent Toilets and beyond: From fundamental to translational light-matter interactions, using nanophotonics to detect atoms, molecules, and nanostructures, and to control them with light. Relevant to this initiative is a range of recent work on using advanced Raman spectroscopies enhanced a billion-fold by Au nanoparticle self-assemblies, to detect analytes in biofluids such as urine or breath. The aim is to translate detection of neurotransmitters and hormones to the home.

nanoparticles  smart home  

Jan Heck

Chemistry  Biological Physics  

Jan is a PhD student in Physics and Chemistry, where his research explores new biophysical analysis platforms at the intersection of optical and microfluidic technologies. For Precision Health, this presents opportunities for individualized diagnostics and microfluidic drug synthesis. A summary of his research can be found at jan-heck.net/research

microfluidics  proteins  optofluidics  high-throughput screening  

Joseph Newman

joseph.newman@nhs.net

Joseph is undertaking a PhD in the Toshner translational medical science laboratory in novel digital endpoints for use in decentralised patient-centred clinical trials in pulmonary hypertension and other cardiopulmonary diseases. This is delivered via apps and wearables. This is collaborative cross-sector research including academia, health services, industry and patient organisations.

pulmonary hypertension  clinical trials  wearable devices  digital health  respiratory  patient engagement  

Emanuele Osimo

efo22@cam.ac.uk
Department of Psychiatry

Psychiatry  

Dr Osimo's research focusses on characterising the biological landscape of serious mental illness, with a special interest in psychosis and early psychosis. To do this, he uses clinical informatics, epidemiology, genetics and clinical research tools.

psychiatry  genetics  inflammation  metabolism  epidemiology  risk prediction  

Kirsten Rennie

kirsten.rennie@mrc-epid.cam.ac.uk
MRC Epidemiology Unit

Dr Rennie's research focuses on the incorporation of remote monitoring in population-based and patient studies, including apps and wearables with the aim of improving clinical pathways and health outcomes and how remote monitoring of physical activity and function can be used to identify individuals who are at risk of adverse health outcomes.

clinical trials  wearable devices  clinical epidemiology  

Andy Wang

ww333@cam.ac.uk
Engineering

Bioelectronics  

Dr Wang's research focuses on additive manufacturing to produce wearable smart devices for health monitoring. The 3D printed sensors could be customisable designed and tailored to account for individual patient's conditions. His research could provide low-cost and personalised solutions for next-generation healthcare hardware and devices.

wearable device  3D printing  remote healthcare  

Nicole Wojtania

nw433@cam.ac.uk
Chemical Engineering and Biotechnology

Biotechnology  Chemical Engineering  

My current research focuses on employing nuclear magnetic resonance (NMR) as a strategy to assess the changes on the surface of ultrasmall, sub-10 nm iron oxide nanoparticles in the absence and presence of protease in order to develop a fast and reliable cancer detection system.

biomaterials  bionanotechnology  biosensors  cancer