Datasets
Models
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| Project title | Abstract (truncated) |
|---|---|
| Bayesian models of expression in the transcriptome for clinical RNA-seq | Background |
| -- | |
| Science is discovering the exciting world of genes, how they interact, how they differ from person to person and the process by which they ultimately form the templates for proteins, the building block of life. But genes are more complicated than we thought. It seems that genes can be transformed: somewhere between the DNA code for a gene and the final protein, genes can be 'spliced' to make different types of proteins and to form other molecules that interact with the gene system. | |
| In a healthy cell, this splicing is useful! It allows us to store the code for different proteins in a single gene. But splicing has been implicated in disease, in particular, Motor Neurone Disease... | |
| Improving The Longevity Of New Infectious Disease Therapeutics Using Machine Learning / Artificial Intelligence In Early Stage Drug Discovery | Drugs against diseases caused by viruses, bacteria and parasites have transformed human health and saved millions of lives. Nevertheless, their widespread use and misuse has led to the emergence of antimicrobial resistance (AMR) that poses a potentially catastrophic threat to public health. The increasing power of genomic sequencing is offering new ways to rapidly detect and respond to the development of antimicrobial resistance. The availability of this wealth of data, along with the latest developments in artificial intelligence / machine learning (AI/ML) techniques, allows the development of sophisticated approaches that can fully leverage this data to pre-empt the effects of potential re... |
| A robot scientist for yeast systems biology | The application of Artificial Intelligence to scientific research is growing in importance because of the increasing power of computers increased use of laboratory automation. The need for automation is particularly important in the branch of science known as systems biology, where scientists are trying to understand how genes work together to form living cells. Applying Artificial Intelligence to laboratory robotics we have previously developed a Robot Scientist that generates hypotheses about the function of particular genes in bakers yeast, and then designs and carries out experiments to test them. Baker's yeast (Saccharomyces cerevisiae) is used as a model organism for human cells, as it... |
| Microbiome metagenomics, senescence and mortality in an island population of birds | This novel and exciting project will use metagenomics to investigate compositional and functional changes in individual gut microbiome (GM) linked to health, senescence and mortality in the Seychelles warbler. |
| Studies on humans and domestic/captive animals have shown that the vertebrate GM - a complex microbial community comprising thousands of species - plays a role in fundamental processes within the host and suggests that differences in the GM can have considerable impacts on health and ageing. However, captivity (and medical/health interventions) can radically affect the GM and confound such studies. Detailed studies that measure how the GM changes within individuals over time in wild-li... | |
| Deriving an actionable patient phenome from healthcare data | Translating routinely collected health data into knowledge is a requirement of a "learning health system". Since joining the Biomedical Research Centre at the South London and Maudsley Hospital, Kings College London, my research has been focused on developing 'CogStack and SemEHR'. This is an integrated health informatics platform which aims to to unlock unstructured health records and assist in clinical decision making and research. The system does much to surface the deep data within the NHS, for example through providing a patient-centric search on semantically annotated clinical notes to support studies such as the recruitment of patients for Genomics England's 100,000 Genomes ... |