聊聊Sci
淼淼Elva聊聊Science和Nature！
| Publishes | Daily | Episodes | 1255 | Founded | a year ago |
|---|---|---|---|---|---|
| Language |  ZH-CN | Number of Listeners | Category | Science |
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这项研究开发了一种基于深度学习影像组学模型（DLRM）的整合分析框架，旨在改善结直肠癌（CRC）的预后风险分层。研究人员通过分析一千多名患者的CT图像，并对比百余种机器学习算法组合，成功将患者分为高风险与低风险两组。除了影像学分析，研究还结合了转录组学与代谢组学数据，揭示了不同风险组之间显著的生物学差异。结果发现，高风险肿瘤通常表现出细胞外基质（ECM）相关通路的活跃，而低风险肿瘤则具有更强的免疫激活特征。此外，研究确定了丁酸代谢与氮代谢是与良好预后相关的关键保护性途径。这一多组学整合模型不仅提... more
这项研究开发了一种通用的深度学习模型，旨在自动识别和分割多种癌症病理切片中的肿瘤区域。研究人员利用涵盖结直肠癌、肺癌等四种癌症的两万多张全扫描数字化切片进行模型训练，并在包含乳腺癌和膀胱癌在内的多组独立外部数据上进行了严格验证。实验结果显示，该通用模型在多数病种中的表现与针对单一癌症开发的专用模型相当，甚至在从未见过的癌症类型中也展现出极佳的泛化能力。尽管模型在处理某些细小且破碎的早期膀胱癌样本时面临挑战，但其在不同实验室设备和扫描仪之间均表现出高度的稳定性。总体而言，这项成果证明了使用单一人工... more
APOLLO11 是一个覆盖全意大利的肺癌研究联盟，旨在通过建立大规模、多中心且持续更新的去中心化临床数据存储库与生物样本库，推动精准肿瘤学的发展。该计划利用人工智能 (AI) 处理复杂的真实世界数据，旨在开发出能够预测免疫治疗效果并识别耐药机制的多组学预测模型。为了保护患者隐私并克服数据共享的伦理障碍，该项目采用了联邦学习技术和可解释人工智能 (XAI) 框架，确保算法的透明度与临床可信度。通过整合临床信息、放射组学、基因组学及免疫特征，该研究正逐步将传统的“假设驱动”研究模式转变为更高效的“... more
这篇文献综述探讨了靶向免疫疗法与纳米医学在治疗卵巢癌中的前沿应用与未来前景。作者指出，由于早期症状隐匿，多数患者确诊时已处于晚期，传统的治疗手段效果有限且副作用明显。文章重点介绍了利用磁性纳米颗粒（MNPs）作为载体，通过磁导向药物递送和热疗技术来增强免疫细胞的杀伤效率。研究显示，这种多学科交叉策略能有效逆转肿瘤微环境的免疫抑制状态，提高药物对病灶的特异性积聚。尽管面临生物降解性和组织穿透性等挑战，但个性化精准医疗与新型纳米材料的结合将为卵巢癌患者带来更高效、低毒的治疗方案。
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Reviews
- 很好👍
做实验的时候听一听蛮好
Apple Podcasts5nothingppChina3 months ago - 我最喜欢的播客之一，谢谢淼淼Elva
One of my favorite podcasts, thanks, 淼淼Elva
Apple Podcasts5TylerZouChina8 months ago - AI生成播客
选题挺好，真人聊就好了
Apple Podcasts1Yuantai SunChina9 months ago
Chart Rankings
How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.
Apple Podcasts | #45 | China/Science |
Apple Podcasts | #59 |  Hong Kong/Science |
Apple Podcasts | #72 |  Singapore/Science |
Apple Podcasts | #250 |  Japan/Science |
Audience Metrics
Listeners, social reach, demographics and more for this podcast.
| Listeners per Episode | Gender Skew | Location | |||
|---|---|---|---|---|---|
| Interests | Professions | Age Range | |||
| Household Income | Social Media Reach | ||||
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聊聊Sci launched a year ago and published 1255 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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