
    Given the number of health data points collected from a patient's wearable device, determine the minimum storage block size (which must be a power of 2) needed to efficiently process and analyze the data for disease detection. The storage block size must be large enough to accommodate all collected data points while maintaining optimal computational performance for the detection algorithms.
    

    
def next_power_of_2(n):
    """
    Given the number of health data points collected from a patient's wearable device, determine the minimum storage block size (which must be a power of 2) needed to efficiently process and analyze the data for disease detection. The storage block size must be large enough to accommodate all collected data points while maintaining optimal computational performance for the detection algorithms.
    

    """
def next_power_of_2(n):
    """
    Given the number of health data points collected from a patient's wearable device, determine the minimum storage block size (which must be a power of 2) needed to efficiently process and analyze the data for disease detection. The storage block size must be large enough to accommodate all collected data points while maintaining optimal computational performance for the detection algorithms.
    

    """
    if n and (not n & n - 1):
        return n
    count = 0
    while n != 0:
        n >>= 1
        count += 1
    return 1 << count