
    Given a list of paired patient vital measurements, where each pair contains two health indicators that together form a composite risk score when multiplied, determine the lowest possible risk score from all available measurement pairs. The risk score is calculated by multiplying the two indicators in each pair, and finding the minimum product represents identifying the patient case with the lowest combined health risk factors.
    

    
def min_product_tuple(list1):
    """
    Given a list of paired patient vital measurements, where each pair contains two health indicators that together form a composite risk score when multiplied, determine the lowest possible risk score from all available measurement pairs. The risk score is calculated by multiplying the two indicators in each pair, and finding the minimum product represents identifying the patient case with the lowest combined health risk factors.
    

    """
def min_product_tuple(list1):
    """
    Given a list of paired patient vital measurements, where each pair contains two health indicators that together form a composite risk score when multiplied, determine the lowest possible risk score from all available measurement pairs. The risk score is calculated by multiplying the two indicators in each pair, and finding the minimum product represents identifying the patient case with the lowest combined health risk factors.
    

    """
    result_min = min([abs(x * y) for (x, y) in list1])
    return result_min