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    remembering the good dr. freireich

    Trailblazing MD Anderson cancer researcher passes away in Houston

    Steven Devadanam
    Feb 5, 2021 | 3:45 pm
    Emil J Freireich MD Anderson
    The good Dr. Freireich saved the lives of countless children.
    Photo by Wyatt McSpadden

    A local legend in the field of cancer research and treatment has died. Emil J Freireich, M.D., the oncologist who developed groundbreaking therapies for childhood leukemia at The University of Texas MD Anderson Cancer Center, passed away at the hospital on February 1. He was 93.

    An MD Anderson faculty member for some 50 years, Freireich developed a reputation as a “founding father of modern clinical cancer research,” MD Anderson notes.

    Beloved for his confidence, passion and “occasional ferocity,” He led the facility’s leukemia research program for decades, where he trained hundreds of physicians and scientists, per his biography. His protocols helped establish the groundwork for randomized clinical trials; he also instituted many teaching programs for graduate students, fellows, and faculty to drive progress in cancer research and treatment, per his biography.

    Notably, Freireich is credited for helping introduce the concept of treating childhood leukemia with combination chemotherapy (here, cancer drugs are given simultaneously rather than singly). He also made the significant discovery that leukemia patients frequently bled to death because of insufficient platelets.

    His finding led to the development of the first continuous-flow blood cell separator, for which he holds the patent.

    A gifted wunderkind, Freireich was born in 1927 and grew up poor in inner-city Chicago during the Great Depression. A high school physics teacher encouraged Freireich to enter the University of Illinois in Champaign at age 16. He waited tables and did other odd jobs to help pay for his education, his biography notes.

    He was recruited to MD Anderson in 1965 to launch a chemotherapy program. To honor his illustrious career, MD Anderson created the Emil J Freireich Award for Excellence in Education in his honor.

    Even after retiring in 2015, Freireich made regular visits to the MD Anderson campus in Houston to teach and consult.

    Perhaps his greatest legacy is saving the lives of countless children. “Leukemia at that time was a horrible illness — a death sentence,” Freireich said in a 2015 interview regarding his first days of treating patients in 1955. “Most children lived only eight weeks after being diagnosed.”

    Today, the five-year survival rate for children with acute lymphocytic leukemia, the most common childhood leukemia, is about 90 percent overall, according to the American Cancer Society.

    “Dr. Freireich was a giant of modern medicine whose impact on the field of cancer is beyond compare. His passing will be felt around the world and within the MD Anderson community,” said Peter WT Pisters, M.D., president of MD Anderson, in a statement. “For more than 60 years, he pushed boundaries and devoted himself to saving young lives and relieving suffering. Dr. Freireich’s compassion and empathy, with a focus on the holistic needs of individual patients, was fused with scientific creativity and perseverance. This rare blend of exceptional qualities has created a lasting legacy that will forever be part of the history of cancer research and that of MD Anderson.”

    Houstonians who wish to pay tribute to the late doctor are encouraged to donate to this special MD Anderson fund created in his honor, according to his family.

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    brain scientists at work

    Rice University scientists invent new algorithm to fight Alzheimer's

    Jef Rouner
    Oct 24, 2025 | 3:00 pm
    Vicky Yao and Qiliang Lai of Rice University work on a laptop.
    Photo courtesy of Rice University
    Vicky Yao, an assistant professor of computer science and member of the Ken Kennedy Institute at Rice University, and Qiliang Lai, a Rice postdoctoral researcher

    A new breakthrough from researchers at Rice University could unlock the genetic components that determine several human diseases such as Parkinson's and Alzheimer's.

    Alzheimer's disease affected 57 million people worldwide in 2021, and cases in the United States are expected to double in the next couple of decades. Despite its prevalence and widespread attention of the condition, the full mechanisms are still poorly understood. One hurdle has been identifying which brain cells are linked to the disease.

    For years, it was thought that the cells most linked with Alzheimer's pathology via DNA evidence were microglia, infection-fighting cells in the brain. However, this did not match with actual studies of Alzheimer's patients' brains. It's the memory-making cells in the human brain that are implicated in the pathology.

    To prove this link, researchers at Rice alongside Boston University developed a computational algorithm called “Single-cell Expression Integration System for Mapping genetically implicated Cell types," or SEISMIC. It allows researchers to zero in on specific neurons linked to Alzheimer's, the first of its kind. Qiliang Lai, a Rice doctoral student and the lead author of a paper on the discovery published in Nature Communications, believes that this is an important step in the fight against Alzheimer's.

    “As we age, some brain cells naturally slow down, but in dementia ⎯ a memory-loss disease ⎯ specific brain cells actually die and can’t be replaced,” said Lai. “The fact that it is memory-making brain cells dying and not infection-fighting brain cells raises this confusing puzzle where DNA evidence and brain evidence don’t match up.”

    Studying Alzheimer's has been hampered by the limitations of computational analysis. Genome-wide association studies (GWAS) and single-cell RNA sequencing (scRNA-seq) map small differences in the DNA of Alzheimer's patients. The genetic signal in these studies would often over-emphasize the presence of infection fighting cells, essentially making the activity of those cells too "loud" statistically to identify other factors. Combined with greater specificity in brain regional activity, SEISMIC reduces the data chatter to grant a clearer picture of the genetic component of Alzheimer's.

    “We built our seismic algorithm to analyze genetic information and match it precisely to specific types of brain cells,” Lai said. “This enables us to create a more detailed picture of which cell types are affected by which genetic programs.”

    Though the algorithm is not in and of itself likely to lead to a cure or treatment for Alzheimer's any time soon, the researchers say that SEISMIC is already performing significantly better than existing tools at identifying important disease-relevant cellular signals more clearly.

    “We think this work could help reconcile some contradicting patterns in the data pertaining to Alzheimer’s research,” said Vicky Yao, assistant professor of computer science and a member of the Ken Kennedy Institute at Rice. “Beyond that, the method will likely be broadly valuable to help us better understand which cell types are relevant in different complex diseases.”

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