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Lange Symposium on Computational Statistics

The Fifth Annual Lange Symposium will be held on January 27, 2025. This year’s topic will be Computational Statistics. This annual event is hosted by the UCLA Departments of Computational Medicine and Human Genetics and supported in part by a grant from the National Human Genome Research Institute; R25 HG011845. The Annual Lange Symposium was launched in 2020 to honor UCLA Professor and National Academy of Sciences Fellow Kenneth Lange. The event celebrates the impact of Dr.

CGSI 2024 Videos Now Available

The Department of Computational Medicine has sponsored the Computational Genomics Summer Institute (CGSI) with funding from the NIH since 2016. In July, more than 160 researchers and trainees from a number of disciplines (statistics, bioengineering, math, computer science, genetics, and others) came to UCLA to participate in CGSI 2024.  Program director Dr.

New AI model efficiently reaches clinical-expert-level accuracy in complex medical scans

By Kevin McClanahan
Media Contact | David Sampson | DSampson@mednet.ucla.edu

UCLA researchers have developed a deep-learning framework that teaches itself quickly to automatically analyze and diagnose MRIs and other 3D medical images – with accuracy matching that of medical specialists in a fraction of the time. An article describing the work and the system’s capabilities is published in Nature Biomedical Engineering.

Biomathematics PhD Students Mariana Harris Heredia and Xiangting Li Receive Dissertation Year Award

The Dissertation Year Award is intended to support doctoral students who are within one year of completing and filing their dissertation. This is the first time the Department of Computational Medicine has received two Dissertation Year Awards! The department is very proud of both Mariana and Xiangting and we look forward to the great work they will do during the upcoming academic year. Congratulations!

 

Machine learning tool identifies rare, undiagnosed immune disorders through patients’ electronic health records

By Kevin McClanahan

Researchers say a machine learning tool can identify many patients with rare, undiagnosed diseases years earlier, potentially improving outcomes and reducing cost and morbidity. The findings, led by researchers at UCLA Health, are described in Science Translational Medicine.

Professor Ken Lange honored at annual symposium

UCLA’s departments of Computational Medicine and Human Genetics, with support from NIH, held the fourth Lange Symposium on January 26th, 2024. The topic for this year’s symposium was Computational and Statistical Genomics. This annual event celebrates the impact of Dr. Lange’s research, mentorship, and teaching throughout an illustrious career spanning more than four decades. It featured scientific talks by some of Dr. Lange’s esteemed colleagues and former trainees:
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