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Study: Autism alters brain more broadly than previously thought
Brain changes in people with autism are more far-reaching than previously thought, occurring throughout the cerebral cortex rather than being confined to certain areas thought to affect social behavior and language.
That's according to a new study -- lasting more than a decade and led by the University of California-Los Angeles -- that explored how autism spectrum disorder affects the brain at the molecular level.
Successful Lange Symposium on Computational Statistics Held in February
Computational Medicine and Human Genetics at UCLA, with support from NIH, held the third Lange Symposium on Feb 3, 2023. The topic for this year’s symposium was Computational Statistics. This annual event celebrates the impact of Dr. Lange’s research, mentorship, and teaching over the course of an illustrious career spanning more than four decades. It features scientific talks by some of Dr. Lange’s esteemed colleagues and former trainees.
Estimation of cross-ancestry genetic correlations within ancestry tracts of admixed samples
Elizabeth G. Atkinson | Nature Genetics
Quantifying whether different populations share similar effect sizes of common causal variants is vital to understand the genetic basis of disease and build better prediction models. A new study proposes a method leveraging admixture to estimate the correlation of causal genetic variants and finds they are largely similar across ancestry backgrounds.
Nature Genetics
Announcing the Data Science in Biomedicine MS program
The Department of Computational Medicine is pleased to announce a new online, self-supporting graduate program called the Master of Science in Data Science in Biomedicine. The program will combine foundational training in all areas of data science including machine learning, statistics, data mining, algorithms and analytics with understanding of application areas including genomics, medical imaging, and analysis of electronic health records as well as other types of medical data (wavefor
Walsh Awards Seminar - May 15 at 12 pm
Please join us on May 15 for the prestigious, honorary John H. Walsh Young Investigators Research Prize Seminar.
Dr. Valerie A. Arboleda presents her research on Unraveling the Influence of Genetics in Human Disease.
- and -
Dr. Weizhe Hong presents his research on Understanding the Social Brain.
Monday, May 15, 2023
Noon to 1:15 pm
NRB Auditorium
Lunch is provided after the seminar for all those who register for in-person attendance:
Symposium to be Held on June 2 in Honor of Professor Janet Sinsheimer
UCLA Computational Medicine and Statistics professor Jingyi Jessica Li won one of the 2023 COPSS Emerging Leader Awards. The award recognizes the talents, leadership potential, and achievements of high-potential early career statistical scientists.
Jingyi Jessica Li is the 2023 recipient of the Overton Prize
The Overton Prize recognizes the research, education, and service accomplishments of early to mid-career scientists who are emerging leaders in computational biology and bioinformatics. The Overton Prize was instituted in 2001 to honor the untimely loss of G. Christian Overton, a leading bioinformatics researcher and a founding member of the ISCB Board of Directors.
Computational Medicine Faculty Continues to Grow
Computational Medicine continues to expand its faculty by recruiting professors with primary appointments in other departments and recent PhDs as Assistant Adjunct Professors. The new faculty complement the research of our current faculty and students and contribute to the community by serving on committees and participating in CGSI and other activities. Their affiliation with Comp Med also supports collaboration across disciplines, departments, and schools.
Next-generation statistical simulator gives medical and biological researchers a benchmarking tool capable of closely mimicking single-cell and spatial genomics data
David Sampson | dsampson@mednet.ucla.edu
UCLA researchers have developed an “all-in-one,” next-generation statistical simulator capable of assimilating a wide range of information to generate realistic synthetic data and provide a benchmarking tool for medical and biological researchers who use advanced technologies to study diseases and potential therapies. Specifically, the new computer-modeling – or “in silico” – system can help researchers evaluate and validate computational methods.