Transcript Presentación de PowerPoint

The Bio-Health Informatics
Group
Andy Brass
([email protected])
Robert Stevens
([email protected])
Introduction
These are exciting times in biology
and medicine.
The genomics revolution is opening up whole
new areas of research - from new insights into
how organisms function, to new
understandings of disease and disease
processes.
Medicine is currently involved in the largest
and most ambitious IT project in the world the capture and interpretation of electronic
patient records. This information will make
health care much more effective and can help
spot new diseases early - whilst they can still
be contained and controlled.
At the heart of all these
developments are data and
knowledge - and a real need and
demand for the skills and
techniques that computer
scientists can bring these problem
areas.
Biology and healthcare now
provide some of the fastest
growing and most challenging
areas for computer scientists to
apply their skills.
“A decade after the
human-genome
project, biological
science is poised on the
edge of something
wonderful “
Geoffrey Carr in the
Economist. June 2010
“3 billion bases, thousands of
differences, one that matters – who
you gonna call... “
Clinical bioinformatician!
Data science with data from biology
and health care
• Data Science: Extracting meaning from data
that can be large, complex, distributed and
dynamic
• Touches issues in machine learning,
knowledge representation and highperformance computing, and .....
• For us the application domain is bio-health
data and process
BHIG’s Connections
TM
AIG
MLO
FLS
IMG
BHIG
Archaeology
FMHS
Humanities
Affiliated Members
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Sophia Ananiadou
Carole Goble
Caroline Jay
Goran Nenadic
Bijan Parsia
Steve Pettifer
Current Students
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Sahel – genome security (Social Science)
Muhammed – data mining GP data (AZ, pharmacy)
Oscar – reproducibility and parasites (FLS)
Muhannad - falls detection in the elderly (nursing, Herc)
Iliada – agile practice in the NHS (NHS)
Geraint – text mining bioinformatics (FLS)
Michael – inflammatory bowel biomarkers (FLS, industry)
Gurdeep – intestinal microbiome (FLS)
Ahmad – archaeoinformatics (archaeology)
Jose – modelling TF networks (FLS)
A virtuous circle
Issues in
Computer
Science
Issues in
Biology and
Health
Possible tasters and Ph.D. projects
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Making sense of 100,000 genomes for clinical care
Agile practice in the NHS
Big data approaches to GP data
Machine learning for cancer biomarkers
Challenge of reproducibility
Extracting and representing specific computational
biology methods from text
• Representing and reasoning about the anatomy of
plants in first order logic
• Cost models for ontology engineering methods
• Methods for extracting meaning from health records