A Singapore team of clinician-scientists and researchers has developed a new tool that accurately predicts which liver cancer patients are likely to experience a recurrence after surgery. The machine-learning tool combines genetic and clinical information and was found to outperform the commonly used TNM staging system, which is based on tumor burden, across independent patient groups.
🛡️
Just a quick checkWe’re checking your connection to prevent automated abuse
| # | Наименование новости | Тональность | Информативность | Дата публикации |
|---|---|---|---|---|
| 1 | Hidden metastases reveal clues to colorectal cancer recurrence | 3 | 7 | 09-07-2026 |
| 2 | ИИ поможет онкологам в диагностике опухолей печени | 5 | 7 | 16-07-2026 |
| 3 | Liver cancer experts co-author new treatment framework for hepatocellular carcinoma | 0 | 9.92 | 10-08-2026 |
| 4 | Студент МИРЭА научил ИИ находить первичный рак печени с чувствительностью 100% | 8 | 7 | 06-07-2026 |
| 5 | Modèles prédictifs 3D pour anticiper l’agressivité du cancer du rein | 5 | 8 | 26-05-2026 |
| 6 | Intermediate histotripsy dose boosts tumor regression in liver cancer model | 0 | 9.64 | 13-08-2026 |
| 7 | AI may predict spread of lung cancer to brain | 2 | 7 | 11-03-2024 |
| 8 | В России создают тест-системы для ранней диагностики рака печени | 0 | 0 | 26-05-2025 |
| 9 | Интеллектуальную систему прогнозирования рецидивов аритмии создали в России | 0 | 10 | 14-08-2026 |