treating depression is guesswork

treating depression is guesswork. psychiatrists are beginning to crack the code .

brain scans and machine learning program are paving the way for a breakthrough.

By Brian Resnick抑郁症的治疗是猜测,精神病学家正在开始解码。脑部扫描和机器学习方案将助力突破解码进程。

Here's a frustrating fact for anyone who has been prescribed medication or therapy for depression:your doctor doesn't know what treatment will work for you.一个令人挫败的事实是那些被医生处方以药物或话疗对抗抑郁症的人们,你的医生并不知道什么处置对你有效。

"It's currently complete  primitive guesswork ," Leanne Maree Williams, a professor at Stanford university, says. " It's  hard to imagine how you can do worse than the current situation.to be honest,"“现在完全是原始的猜测”斯坦福大学教授丽安娜说,“老实说,没什么比现在更糟了。”

depression means being stuck in a chronic sad mood or lack of enjoyment in life, to a degree where it starts to degrade quality of life. the two main treatments are antidepressant medications and cognitive behavioral therapy(CBT), a talk-centered approach that gets patients to readjust their habits. both are equally effective. Around 40 percent of patients will get better on either. but no one treatment reliably works for everyone. It's not just  about  talk therapy versus drugs. Even in the realm of medication, available drugs like Zoloft and Cymbalta will work for some but not others.抑郁症意味着陷入悲伤情绪或缺失生活乐趣而束手无策,以至于达到降解生活质量的程度。目前两种主流方法是抗抑郁药物和认知行为疗法(CBT)一种以谈话为核心旨在重塑病患生活习性的方法。两种方法效果相当,实施任一方法都有大约40%的患者会有好转。但没哪种对所有患者都见效,并非话疗和药物间比较,即便在医药领域像目前可用的乐复得千忧解也只对部分病例起效。

enter "precision psychiatry" inspired in part by "precision medicine" which changed the way doctors treat certain kinds of cancer. psychiatric researchers are hoping to bring a "precision" approach to diagnose and treat depression using brain scans and machine learning algorithms. Too many patients are left frustrated after  treatments fail.these scientists think they can do better.医生们受到精确药物应用于某些癌症治疗的启示,试图通过精确医药跨入精确精神病学,精神病学研究者希望借助脑部扫描和机器学习算法技术对抑郁症进行诊断和治疗。太多患者在处置不当后被留在挫败感中,这些科学家认为他们能做得更好。

                                                                                                               translator:玉莲子

                                                                                                                        2017/06/30

       

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