用AI打通个性化癌症治疗：从肿瘤测序到模块化药物的框架设想
一位研究者聊为什么癌症要按每个人的肿瘤单独定制疗法，AI能在这条路上帮什么忙，观点挺清楚。
作者认为癌症难以攻克的核心原因在于每位患者的肿瘤都是一种独立疾病，个体差异极大。他提出一个治疗框架：先对肿瘤的独特生物学特征做全面测绘，再针对驱动突变或过表达的基因蛋白设计药物。这条路径依赖精确的生物测量工具、高度模块化的药物设计与靶向平台的结合。作者认为AI将让目前难以获取的这些个性化医疗手段变得更容易获得。
The challenge with tackling cancer is the diversity and complexity. Each person's cancer is basically a separate disease.
That's why imo the way to "cure cancer" will be a *framework* based on:
1. Comprehensively mapping the unique biology of a tumor
2. Targeting the unique aspects of that patient's tumor biology (ex: drugs that target driver mutations, overexpressed genes/proteins, etc.)
It's about taking personalized medicine to the limit: the development and scalability of precise biological measurement tools + extremely modular drug design + targeting platforms.
Parts of this are already available now but it's often extremely inaccessible.
All of this will be made MORE ACCESSIBLE by AI. You will see.
