의료 및 건강 산업에서의 Golang 애플리케이션 공유

import (
    "github.com/clearpath/medscan/imaging"
    "github.com/clearpath/medscan/types"
)

func processImage(image *types.Image) error {
    // 并发处理图像的各个部分
    var wg sync.WaitGroup
    for _, region := range image.Regions {
        wg.Add(1)
        go func(r region) {
            defer wg.Done()
            // 处理区域
        }(region)
    }

    wg.Wait()
    return nil
}

import (
    "github.com/GoogleCloudPlatform/iot-mqtt-bridge/mqtt"
)

func handleDevice(client *mqtt.Client) {
    // 处理来自设备的数据
    for {
        payload, err := client.Receive()
        if err != nil {
            fmt.Println("Receive error:", err)
            continue
        }

        // 解析数据
        deviceID, data, err := parsePayload(payload)
        if err != nil {
            fmt.Println("Parse error:", err)
            continue
        }

        // 发送数据到云平台
        // ...
    }
}

import (
    "github.com/ToyoDatanet/goChem/db"
    "github.com/ToyoDatanet/goChem/sim"
)

func predictDrugProperties() {
    // 从数据库中获取化合物数据
    compounds, err := db.GetCompounds("table")
    if err != nil {
        fmt.Println("GetCompounds error:", err)
        return
    }

    // 并行计算每个化合物的性质
    var results []sim.CompoundProp
    var wg sync.WaitGroup
    for _, cmp := range compounds {
        wg.Add(1)
        go func(c sim.Compound) {
            defer wg.Done()
            results = append(results, sim.PredictProp(c))
        }(cmp)
    }

    wg.Wait()

    // 保存预测结果
    // ...
}