J. Jack Lee

I’m part of the California Weather Wonks, a small but mighty team dedicated to explaining the how and why behind weather in the S.F. Bay Area and California.My path to science journalism has taken a few twists and turns. I earned a Ph.D. in molecular biology at Princeton Unversity and worked as a data engineer before completing the science communication program at UC Santa Cruz. Since then, I’ve written about a variety of science topics, from dinosaur eggs to heat waves to cancer prevention, through internships and as a freelancer.In this illustration of a swimming sperm’s position over time, the head (red) rotates as the tail (blue) beats to only one side. The combination results in straight-ahead movement.

JPL researchers stacked vegetation maps from 2010 (red), 2017 (green) and 2020 (blue) atop each other, revealing how wildfires dramatically altered the landscape in Southern California. As a heat wave swept Europe in 2019, people in Paris tried to stay cool. Unlike hurricanes, which cause obvious physical damage, heat waves can be silent killers, primarily affecting human health. Hot springs, like those at Lassen Volcanic National Park’s Bumpass Hell in California, provide conditions that may have supported life as it began on Earth.

Jack J. Lee is a freelance science writer based in the San Francisco Bay area. He was the Summer 2020 science writing intern at Science News. He has a bachelor’s degree in biology from Caltech and a Ph.D. in molecular biology from Princeton University. He recently completed a master’s program in science communication at the University of California, Santa Cruz. His work has been published in Eos, the Monterey Herald and The Mercury News.Wisconsin counties where gray wolves (Canis lupus) moved back in experienced a substantial decrease in deer-vehicle collisions, leading to millions in savings.

To prevent bald eagles (one shown) and other birds from fatally colliding with turbines or losing their homes as wind farms expand across the United States, some scientists are advocating for the use of citizen science and bird migration data when deciding where to build.The white-throated sparrow traditionally sings a song with a three-note ending, but across North America, these birds have recently adopted a version ending with a repeated pattern of two notes.

Coronavirus-infected cells can produce more and longer spindly projections called filopodia than normal uninfected cells. Viral particles (colored green in this electron microscopy image of a monkey cell) can bud from these protrusions and possibly infect other cells.

A yellow-rumped leaf-eared mouse similar to this one was found scurrying among the rocks at the summit of a dormant volcano on the border of Chile and Argentina, at a record altitude of 6,739 meters (22,110 feet).Results: The new design controls type I and type II error rates, and allows continuous monitoring of the trial outcome. Consequently, under the null hypothesis when the experimental treatment is not efficacious, the design is more efficient in stopping the trial earlier, which results in a smaller expected sample size. Exact computation and simulation studies demonstrate that the predictive probability design possesses good operating characteristics.

Background: Two- or three-stage designs are commonly used in phase II cancer clinical trials. These designs possess good frequentist properties and allow early termination of the trial when the interim data indicate that the experimental regimen is inefficacious. The rigid study design, however, can be difficult to follow exactly because the response has to be evaluated at prespecified fixed number of patients.

Limitations: The predictive probability design is more computationally intensive than two- or three-stage designs. Similar to all designs with early stopping due to futility, the resulting estimate of treatment efficacy may be biased.The PubMed wordmark and PubMed logo are registered trademarks of the U.S. Department of Health and Human Services (HHS). Unauthorized use of these marks is strictly prohibited.

Conclusions: The predictive probability design is efficient and remains robust in controlling type I and type II error rates when the trial conduct deviates from the original design. It is more adaptable than traditional multi-stage designs in evaluating the study outcome, hence, it is easier to implement. S-PLUS/R programs are provided to assist the study design.This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here. Local consolidative therapy versus maintenance therapy or observation for patients with oligometastatic non-small-cell lung cancer without progression after first-line systemic therapy: a multicentre, randomised, controlled, phase 2 study J. Jack Lee spends much of his time researching Internal medicine, Oncology, Cancer, Lung cancer and Cancer research. His Internal medicine research is multidisciplinary, relying on both Gastroenterology, Surgery and Pathology. His Oncology study combines topics from a wide range of disciplines, such as Head and neck squamous-cell carcinoma, Head and neck cancer, Phases of clinical research, Clinical endpoint and Biomarker.J. Jack Lee has included themes like Carcinoma, Lung and Immune system in his Lung cancer study. His studies deal with areas such as Survival rate and Gemcitabine as well as Carcinoma. His study in Immune system is interdisciplinary in nature, drawing from both Immunohistochemistry, Cancer research and Serology.His Clinical trial research includes themes of MEDLINE, Randomized controlled trial, Bayesian probability, Artificial intelligence and Machine learning. The various areas that J. Jack Lee examines in his Lung cancer study include Cell, Ipilimumab, Genotype and Confidence interval. His research in Cancer intersects with topics in Placebo and Adverse effect.His main research concerns Internal medicine, Cancer, Oncology, Cancer research and Pathology. His Internal medicine research includes elements of Gastroenterology, Surgery and Isotretinoin. His biological study spans a wide range of topics, including Prospective cohort study, Physical therapy, Immunology and Disease.An Epithelial–Mesenchymal Transition Gene Signature Predicts Resistance to EGFR and PI3K Inhibitors and Identifies Axl as a Therapeutic Target for Overcoming EGFR Inhibitor ResistanceWe appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

His Cancer research incorporates themes from Radiation therapy, Proportional hazards model and Bioinformatics. His Lung cancer research is multidisciplinary, incorporating elements of Targeted therapy, KRAS, Lung and Adenocarcinoma. J. Jack Lee interconnects Carcinogenesis, Cancer cell, Mutation, Immunology and Receptor in the investigation of issues within Cancer research.His primary areas of study are Internal medicine, Oncology, Cancer research, Clinical trial and Lung cancer. His Oncology study integrates concerns from other disciplines, such as Head and neck squamous-cell carcinoma, Carcinoma, Cohort and Immunotherapy. His research integrates issues of Immunohistochemistry, T cell, Immune system, Transcriptome and Adenocarcinoma in his study of Cancer research.

The University of Texas MD Anderson Cancer Center has announced that J. Jack Lee, PhD, has been named a Fellow in the American Association for the Advancement of Science (AAAS). Dr. Lee is Associate Vice President of Quantitative Sciences and Biostatistics at MD Anderson and a leader in the design and analysis of clinical trials. The 2019 group of new Fellows will receive official certificates and pins in a ceremony on February 15, 2020, during the AAAS Annual Meeting in Seattle. ■Dr. Lee is a Statistical Editor for the Journal of the National Cancer Institute and Cancer Prevention Research. He is a Fellow of the American Statistical Association.

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