Current Research
Are you interested in discovering how machine learning can be applied to the life sciences?
Check this document for some possibilities beyond what is discussed below.
Life Sciences Research (pdf)
| Helping Doctors treat cancer patients... |
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Brain Tumour Analysis and Prediction
collaboration with the Cross Cancer Institute (Alberta Cancer Board) |
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Learn to detect tumours on Magnetic Resonance images and to model tumour growth. This will help doctors identify cancerous cells which will enable more accurate radiotherapy treatments.
One page summary (pdf)
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Breast and Ovarian Cancer Studies
collaboration with the Cross Cancer Institute (Alberta Cancer Board) |
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Learn genetic markers (Single Nucleotide Polymorphisms [SNPs], Microarray) that indicate which cancer treatment will be the most successful for a specific patient. Learn to predict which patients will relapse. This will help doctors prescribe treatments that are likely to succeed.
One page summary (pdf)
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Prostate Cancer Toxicity Studies
collaboration with the Cross Cancer Institute (Alberta Cancer Board) |
| Learn to predict which prostate cancer patients will exhibit toxicity due to radiation treatments. This will help doctors suggest appropriate treatments and improve care and treatment of the patient. |
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| Helping Alberta Farmers ensure healthy, good quality livestock... |
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Bovine SNP Data Analysis
collaboration with Agriculture & Forestry Department (University of Alberta) |
| Learn to predict the effective breeding value of cattle using SNP data. This will help ranchers identify which cattle are best for breeding and which are best for consumption, ensuring livestock that is healthy and of good quality. |
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| Helping Scientists unlock the secrets of the human Metabolome... |
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Human Metabolomic Data
collaboration with Human Metabolome Project (Genome Alberta) |
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Learn to identify and characterize all metabolites (small molecules found in the blood, urine and cerebrospinal fluid) in the human metabolome. This is used in a variety of health applications including pharmacology, pre-clinical drug trials, toxicology, transplant monitoring and newborn screening.
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| Helping Scientists undestand Proteomes... |
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Proteome Analyst
collaboration with Bioinformations Research Group (Computing Science, University of Alberta) |
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Proteome Analyst (PA) is a publicly-available, high-throughput, Web-based system for predicting various properties of each protein in an entire proteome.
One page summary (pdf)
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