Characteristics Associated with Successful Residency Match in General Surgery by Reagan A. Collins, BA, Kaitlyn Nimmer, BA, Salma A. Sheriff, BS, Tania K. Arora, MD, Anai N. Kothari, MD, MS, Carrie Cunningham, MD, MPH, Callisia N. Clarke, MD, MS

“…Matched versus unmatched applicants had higher step 1 scores (US: 236 vs 218, P = 0.005; independent: 237 vs 228, P = 0.001), higher step 2 scores (US: 248 vs 232, P = 0.006; independent: 245 vs 234, P < 0.001), more likely to belong to alpha omega alpha (US: 17.1% vs 1.6%, P = 0.002) or to attend a top 40 National Institutes of Health-funded school (US: 31.0% vs 19.4%, P = 0.002) compared to unmatched applicants. …”
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Machine learning prediction of obesity-associated gut microbiota: identifying Bifidobacterium pseudocatenulatum as a potential therapeutic target by Hao Wu, Yuan Li, Yuxuan Jiang, Xinran Li, Shenglan Wang, Changle Zhao, Changle Zhao, Ximiao Yang, Baocheng Chang, Juhong Yang, Juhong Yang, Jianjun Qiao, Jianjun Qiao

“…We assessed the anti-obesity effects of Bifidobacterium pseudocatenulatum through experimentation with Caenorhabditis elegans and C3H10T1/2 cells.ResultsOur analysis revealed a significant correlation between gut bacterial composition and body weight. The top 40 bacterial species were utilized to develop ML models, with XGBoost demonstrating the highest predictive accuracy. …”
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