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And if we want to collect health data when no one's wearing a device? Engineers at MIT have modified a WiFi-like box so it can capture vital signs and sleep patterns of several people in the same residence.
如果我們想在沒有人佩戴設備的情況下收集健康數據呢？麻省理工學院的工程師已經研發出一種類似WiFi裝置的儀器，可捕捉在同一棟住宅中數個人的生命征象和睡眠模式。
As new sensing technologies emerge, they'll yield more biomedical data and insights -- and these can be paired with growing stores of genomic data. In combination, they'll lead us to new ways to optimize wellness, understand disease, and select the most patient-specific preventives and interventions.
當新的感測技術出現，將產生更多關于生物醫學的數據與洞見，這些可與不斷增長的基因組數據庫結合。結合后的新數據將引導我們找到改善健康的新方法、了解疾病，并選擇最適合患者的預防與介入方式。
The widening array of digital tools paired with AI analytics almost certainly will boost diagnosticians' accuracy and speed, improving disease detection at early stages and thus raising the odds of successful treatment or cure. Many likely will be phone-based.
越來越多數字工具與人工智能分析結合，幾乎一定會提高診斷人員的準確性和速度，改善疾病初期的偵測率，從而提高成功治療或治愈的機會。其中有許多任務可能都是安裝在手機上。
With smartphone otoscopes, parents can look in kids' ears and share the view with a pediatrician. Apps and sensors can enable a phone to take electrocardiograms to check for dangerous arrhythmias; software and a microphone can equip it to "listen" to a cough and diagnose pneumonia. To improve treatment of hypertension -- a leading risk factor associated with early death—sensors now in development would take continuous blood pressure readings (no cuff needed).
通過智能型手機的耳鏡，父母可以觀察孩子的耳朵，并與小兒科醫師分享耳道內的影像。手機里的應用程序和傳感器可以記錄心電圖，以檢測是否有危險的心律不整；安裝軟件和麥克風后，可用手機“聆聽”咳嗽并診斷肺炎。高血壓是早逝的主要風險因子，為了改善高血壓的療法，目前開發中的傳感器將連續記錄血壓讀數（不需要壓脈帶）。
