ICE agents clash with protesters, deploying rubber bullets and pepper spray amid Chicago immigration demonstrations.

In a ruling issued Monday, the judge called the government’s directives “arbitrary and capricious” and ordered funding for some of the NIH grants, including many profiled by ProPublica in recent month...

Background Epidermal growth factor receptor (EGFR) mutations are present in 10–60% of all non-small cell lung cancer (NSCLC) patients and are associated with dismal prognosis. Lung cancer brain metastases (LCBM) are a common complication of lung cancer. Predictions of EGFR can help physicians in decision-making and, through optimizing treatment strategies, can result in more favorable outcomes. This systematic review and meta-analysis evaluated the predictive performance of machine learning (ML)-based models in EGFR status in NSCLC patients with brain metastasis. Methods On December 20, 2024, the four electronic databases, Pubmed, Embase, Scopus, and Web of Science, were systematically searched. Studies that evaluated EGFR status in patients with brain metastasis from NSCLC were included. Results Twenty studies with 3517 patients with 6205 NSCLC brain metastatic lesions were included. The majority of the best-performance models were ML-based (70%, 7/10), and deep learning (DL)-based models comprised 30% (6/20) of models. The area under the curve (AUC) and accuracy (ACC) of the best-performance models ranged from 0.765 to 1 and 0.69 to 0.93, respectively. The meta-analysis of the best-performance model revealed a pooled AUC of 0.91 (95%CI: 0.88–0.93) and ACC of 0.82 (95%CI: 0.79–0.86) along with a pooled sensitivity of 0.87 (95%CI: 0.83–0.9), specificity of 0.86 (95%CI: 0.79–0.9), and diagnostic odds ratio (DOR) of 35.2 (95%CI: 21.2–58.4). The subgroup analysis did not show significant differences between ML and DL models. Conclusion ML-based models demonstrated promising predictive outcomes in predicting EGFR status. Applying ML-based models in daily clinical practice can optimize treatment strategies and enhance clinical and radiological outcomes.

PC3I Celebrates National Cancer Research Month in May by highlighting some of its innovative faculty-led projects.

Donald Trump and Elon Musk think this country belongs to them. San Diego is fighting back! They're taking everything they can get their hands on—our health care, our data, our jobs, our services—and ...

A grad student at the University of Alabama was taken into custody by ICE agents this week, the university said. The reason why has not been made clear.

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The news that on 31 January 2025 the Trump administration instructed scientists employed by the US Centers for Disease Control and Prevention (CDC) to withdraw or retract articles from medical and sci...

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