Delve into dermatology diseases with new approaches from conventional to complementary care.
Explore a broad spectrum of dermatological conditions and topics to enhance your practice.
Expert led instruction for every level of patient care.
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Part of a 14-course series, this activity is designed to provide licensed practitioners and dermatologists with an understanding of the basic principles of managing patients with psoriasis in the 21st century. The course will provide participants with advanced understanding of current concepts in etiology, diagnosis, and management of psoriasis.
Dr. Tsoi has strong interests in investigating the pathology and genetic architecture of complex cutaneous disorders using systems biology approaches, and his work focused on developing data integration approaches to enhance prioritization and interpretation of high throughput experimental results. He joined the Department of Dermatology, Department of Computational Medicine & Bioinformatics, and the Department of Biostatistics at the University of Michigan in 2015-2016 as a faculty. Working with Drs. James T. Elder and Johann E Gudjonsson, Dr. Tsoi’s research aims to develop analysis pipelines and computational approaches to provide biological inferences from genetics and genomics data. His work in genetic association studies revealed over 30 novel psoriasis susceptibility regions, and highlighted different disease pathways. He also led the analysis and developed computational pipeline to study psoriasis transcriptomes, and his work uncovered over 1,000 novel transcripts in skin.
Dr. Patrick is a Postdoctoral Research Fellow at the University of Michigan, under the supervision of Dr Lam C. Tsoi. His research focuses on providing biological inference from high dimensional biological data for dermatological research. Among other projects, he has applied statistical and machine learning techniques to identify genetic and clinical markers, which distinguish Psoriatic Arthritis (PsA) from Cutaneous Psoriasis (PsC) among psoriatic patients.