![]() |
Centre for Computational Intelligence
Seminars |
|
Date/Time |
12:00 on Friday, 17th of March 2006 |
|
|
Venue |
GH3.54 (The Gateway House) |
|
|
Title
|
A Systems Approach in Breast Cancer
|
|
|
Speaker |
Professor Michael N. Liebman, PhD Executive Director Windber Research Institute (PA, USA)
|
|
|
Summary |
The effective implementation of mammographic screening and of self-breast exam have significantly contributed to the earlier detection of breast disease and an increased survival rate. The disease, however, remains an enigma in spite of access to the results of the human genome project and the major efforts of the National Cancer Institute and many commercial and academic institutions in both research and technology development. We have evolved a population of women who now are patients with breast cancer under control as a chronic disease, not one that is cured.
The Windber Research Institute collaborates with Walter Reed Army Medical Center in the Clinical Breast Care Project to study breast cancer in the military population and their families. Most importantly, this program is patient-focused and concentrates on taking the day-to-day clinical problems faced by surgeons, oncologists, pathologists and patients and applying advanced molecular technologies to their solution. WRI performs a wide range of genomic and proteomic analysis of more than 17,000 breast samples, integration with more than 600 clinical data elements about the patient, images from mammography, ultrasound, PET/CT, MRI and pathology. This comprehensive patient record is analyzed for information content and to develop models for disease progression, risk assessment and enhanced diagnosis and treatment. The challenges are great and ongoing research into data models and data integration, data mining, pattern and image recognition, natural language processing and ontology construction will be presented in the context of this system and its intended redefinition of translational research. |
|
Date/Time |
Wednesday, 24th of May 2006 |
|
|
Venue |
TBA |
|
|
Title
|
A kernel-based approach to time delay estimation in gravitational lensing
|
|
|
Speaker |
Dr. Peter Tino
University of Birmingham |
|
|
Summary |
|
Date/Time |
1 pm on Monday, of June 2006 |
|
|
Venue |
TBA |
|
|
Title
|
Universal Cluster Structure of Genome
|
|
|
Speaker |
Professor
Alexander N. Gorban
University of Leicester |
|
|
Summary |
We prove the existence of a universal 7-cluster structure in all 175 completely sequenced bacterial genomes available in Genbank in March 2005, and explained its properties. The 7-cluster structure is responsible for the main part of sequence heterogeneity in bacterial genomes. In this sense, our 7 clusters is the basic model of bacterial genome sequence. We demonstrated that there are four basic ``pure" types of this model, observed in nature: ``parallel triangles", ``perpendicular triangles", degenerated case, and the flower-like type. There exist only four types of the cluster structure because in special coordinates (codon position-specific nucleotide frequencies) bacterial genomes form two straight lines in 9- dimensional space: one line for eubacterial genomes, another for archaeal genomes. All the 175 bacterial genomes belong these lines with high accuracy, and these two lines are certainly different. |