Mathematical Innovation for Biomedicine

One-day Meeting on September 13th 2017

King's College London

Organised by Institute for Mathematical and Molecular Biomedicine (KCL) and Saddle Point Science

The traditional mathematical methods for modelling biomedical systems and analysing biomedical data
were developed decades ago, when computers were slow, complexity of data was modest, and simple
quantitative tools were sucient. They have not kept up with experimental advances, and are increasingly
failing to cope with the demands of post-genome medicine. We now need quantitative tools that can
handle heterogeneous systems with complex interactions between large numbers of variables, and extract
predictive patterns reproducibly from complex data with very high dimensionality. The limitations of
available mathematical and statistical methods are presently dictating which biomedical questions can be
asked. There is an unmet need for innovation of mathematical methods for biomedicine.

Topics:
 -Mathematical aspects of survival analysis and discriminant analysis
 -Bayesian and non-Bayesian regression and clustering methods
 -Regression and prediction in very high dimensional spaces
 -Mathematical immunology
 -Analysis of signalling and regulation networks and processes

Time and Venue: 10:00-18:00, Room G4 New Hunt's House, Guy's Campus, King's College London

Registration:

 Please register via <a href="/cgi-bin/wa-jisc.exe?LOGON=A3%3Dind1707%26L%3DALLSTAT%26E%3Dquoted-printable%26P%3D801135%26B%3D--part-X3ASPCjAlwwAAAWA9VC8eszb8l1ZoRnK33rmwn3pcuhi6%26T%3Dtext%252Fhtml%3B%2520charset%3DUTF-8%26pending%3D" target="_parent" >[log in to unmask]</a>

 July 21st: abstract submission deadline for oral or poster presentations

 July 28th: author notication for oral presentation

Organisers:
Ton Coolen, <a href="/cgi-bin/wa-jisc.exe?LOGON=A3%3Dind1707%26L%3DALLSTAT%26E%3Dquoted-printable%26P%3D801135%26B%3D--part-X3ASPCjAlwwAAAWA9VC8eszb8l1ZoRnK33rmwn3pcuhi6%26T%3Dtext%252Fhtml%3B%2520charset%3DUTF-8%26pending%3D" target="_parent" >[log in to unmask]</a>
Alexander Mozeika, <a href="/cgi-bin/wa-jisc.exe?LOGON=A3%3Dind1707%26L%3DALLSTAT%26E%3Dquoted-printable%26P%3D801135%26B%3D--part-X3ASPCjAlwwAAAWA9VC8eszb8l1ZoRnK33rmwn3pcuhi6%26T%3Dtext%252Fhtml%3B%2520charset%3DUTF-8%26pending%3D" target="_parent" >[log in to unmask]</a>
You may leave the list at any time by sending the command
<p>
SIGNOFF allstat
</p><p>
to <a href="mailto:[log in to unmask]"><a href="/cgi-bin/wa-jisc.exe?LOGON=A3%3Dind1707%26L%3DALLSTAT%26E%3Dquoted-printable%26P%3D801135%26B%3D--part-X3ASPCjAlwwAAAWA9VC8eszb8l1ZoRnK33rmwn3pcuhi6%26T%3Dtext%252Fhtml%3B%2520charset%3DUTF-8%26pending%3D" target="_parent" >[log in to unmask]</a></a>, leaving the subject line blank.