
MedVerse 医路人 —— 记录医药职场的每一步。 在快速变化的医疗健康行业里,每一位职场人都在书写属于自己的“医路”。 MedVerse 医路人,是一档聚焦 医药行业 + 职场成长 的访谈分享类节目。
| Publishes | Daily | Episodes | 209 | Founded | a year ago |
|---|---|---|---|---|---|
| Language | Number of Listeners | Category | Technology |

AI在早期研发已经破纪录,临床前稳步推进,临床阶段降到最低谷,上市后重新回升。不是单点突破,是四段不同的进度条。
四段能力曲线
- 早期研发:最成熟,蛋白结构预测/虚拟筛选/分子设计已进入生产力级别
- 临床前:ADMET有筛选价值(AUC 0.70-0.85),但不能替代动物实验和毒理报告
- 临床:AI能力最低谷。2011-2020全球I期→获批~7.9%,II期瓶颈~28.9%。AI只能做辅助(患者匹配/中心优化/信号捕捉)
- 上市后:RWD量大场景明确,AI在安全性识别/疗效验证/患者... more
五类速览
- 数据基础设施:Tempus/SOPHiA/医渡——让生物医学数据可计算
- 基础模型:Isomorphic/EvolutionaryScale/百图生科——让AI学习生命语言
- 药物发现平台:Insilico/Recursion/Exscientia/晶泰——加速靶点到分子
- 物理模拟:Schrödinger/晶泰/深势科技——分子在真实世界能否成立
- AI Native Biotech:有平台+有管线,不卖铲子自己下矿
基础模型层英美主导;发现平台层中美差距显著缩小;物理模... more
AlphaFold、GNN、Knowledge Graph、Foundation Model,不再是一堆平铺的词。本期用四层楼把它们搭成一根柱子。
四层速览
数据层:多组学(全景)、单细胞组学(精度)、知识图谱(连接),地基质量决定模型上限
模型层:Foundation Model(通用语言引擎)、GNN(分子即图)、AlphaFold(结构预测的革命性信任)
应用层:靶点发现、虚拟筛选、生成式设计,从寻找进化到创造的连续谱
验证层:ADMET预测,最不性感但最值钱,高风险项目的沉默淘汰门
评估... more
AI制药≠AI造药。本期把靶点到临床开发的六站逐一拆开,讲清楚AI在各个节点上真正提升了什么。
六站速览
靶点发现:AI整合多组学+RWD,把几千个候选缩到几十个可验证优先级
苗头筛选:虚拟筛选百万→千级,拿移液枪之前就有一个高浓度候选池
先导优化:生成式AI从"挑选分子"升级为"创造新骨架",多任务预测活性+选择性+成药性
蛋白结构预测:AlphaFold把几年的晶体解析压缩到计算时间,难靶点的轮廓开始可见
ADMET预测:在合成之初就预测毒性,把注定失败的项目提前沉默退出
临床开发:AI挖E... more
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MedVerse医路人 launched a year ago and published 209 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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