{"ok":true,"trend":{"id":994608,"platform":"news","region":"global","key":"machine learning meets classical statistics to catch the subtle fingerprints of polygenic adaptation","title":"Machine Learning Meets Classical Statistics to Catch the Subtle Fingerprints of Polygenic Adaptation","url":"https://news.google.com/rss/articles/CBMiwwFBVV95cUxQZUlGSWJoRzBoZmVxdGpnS2ZMT2NYZ2pvQVBnSnNGWEVUdzBDOW53eUczSlQ2UHpVSE85WVNldXNrSnJheGtwNnZvNVA5QVlRajFrWFFlM2l6YVdUT0NQN3A4TXJqdTJmWVNnWURWQ2ZKOVJHWEk4N3F0MWZzVVg5NmYyNC10QzRENlpfRHVrdUhFcHZsb3RMTFRBbFFlOWFwc3FreTc1VGJMa2Nmd1lDTVgzSkhIeldyUkxPem1nSEsyNlk?oc=5","first_seen":"2026-10-04T14:25:03.977331Z","last_seen":"2026-10-04T18:32:30.289286Z","last_rank":34,"peak_rank":27,"last_volume":null,"peak_volume":0,"seen_count":4,"score":23.93,"category_hint":"biology","section":"science","category":"biology","summary":"Researchers are combining machine learning with classical statistical methods to identify polygenic adaptation — the gradual, small shifts in many genes that populations undergo in response to environmental pressures. The hybrid approach aims to pick up signals too subtle for traditional genome scans alone, potentially clarifying how traits like height, metabolism and disease risk have evolved across human populations.","why":"New methodological work pairing machine learning with classical statistics is drawing attention from geneticists studying human evolution.","tone":"neutral","entities":["polygenic adaptation","machine learning","genetics researchers"],"summarized_at":"2026-10-04T20:31:31.041902Z","meta":{"via":"scan","lang":"en","term":"biology","source":"Bioengineer.org","published":"Sun, 04 Oct 2026 05:33:23 GMT"},"nw":null,"promo":null,"kind":null,"importance":null,"hidden":false,"hide_reason":null,"judged_at":null,"title_en":"Machine Learning Boosts Detection of Polygenic Adaptation in Humans","section_name":"Science","category_name":"Biology","timeline":[{"captured_at":"2026-10-04T14:25:03.977331Z","rank":29,"volume":null},{"captured_at":"2026-10-04T15:47:55.213259Z","rank":27,"volume":null},{"captured_at":"2026-10-04T17:09:48.802402Z","rank":31,"volume":null},{"captured_at":"2026-10-04T18:32:30.289286Z","rank":34,"volume":null}],"posts":[{"platform":"news","url":"https://news.google.com/rss/articles/CBMiwwFBVV95cUxQZUlGSWJoRzBoZmVxdGpnS2ZMT2NYZ2pvQVBnSnNGWEVUdzBDOW53eUczSlQ2UHpVSE85WVNldXNrSnJheGtwNnZvNVA5QVlRajFrWFFlM2l6YVdUT0NQN3A4TXJqdTJmWVNnWURWQ2ZKOVJHWEk4N3F0MWZzVVg5NmYyNC10QzRENlpfRHVrdUhFcHZsb3RMTFRBbFFlOWFwc3FreTc1VGJMa2Nmd1lDTVgzSkhIeldyUkxPem1nSEsyNlk?oc=5","author":"Bioengineer.org","title":"Machine Learning Meets Classical Statistics to Catch the Subtle Fingerprints of Polygenic Adaptation","snippet":null,"posted_at":"2026-10-04T05:33:23Z","likes":null}],"elsewhere":[],"window":"7d"}}