Recent development of immune checkpoint inhibitors has revolutionized cancer immunotherapy. Although these drugs show dramatic effects on a subset of cancer patients, many other tumors are non-responsive and the pathological mechanism of the resistance is largely unknown. To identify genes underlying anti-PD-1 immunotherapy resistance using a systematic approach, we performed an in vivo genome wide CRISPR screening in lung cancer cells.
View Article and Find Full Text PDFBackground: The findings of the 2023 AAPM Grand Challenge on Deep Generative Modeling for Learning Medical Image Statistics are reported in this Special Report.
Purpose: The goal of this challenge was to promote the development of deep generative models for medical imaging and to emphasize the need for their domain-relevant assessments via the analysis of relevant image statistics.
Methods: As part of this Grand Challenge, a common training dataset and an evaluation procedure was developed for benchmarking deep generative models for medical image synthesis.
A 34-year-old pregnant woman collapsed at home without preceding symptoms. Following bystander cardiopulmonary resuscitation, ventricular fibrillation was documented and successfully reverted with an external shock. The electrocardiogram showed sinus rhythm, right bundle branch block, ST-segment depression, and T-wave inversion in anterior leads.
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