
    Given a diagnostic scan represented as a binary sequence where '0' indicates normal tissue and '1' indicates potential anomalies, find the region of interest that shows the greatest disparity between normal and anomalous tissue patterns. The identified region, represented as a continuous sub-sequence of the scan data, should maximize the absolute difference between the count of normal tissue markers and anomalous tissue markers to help highlight significant anatomical variations.
    

    
def find_length(string):
    """
    Given a diagnostic scan represented as a binary sequence where '0' indicates normal tissue and '1' indicates potential anomalies, find the region of interest that shows the greatest disparity between normal and anomalous tissue patterns. The identified region, represented as a continuous sub-sequence of the scan data, should maximize the absolute difference between the count of normal tissue markers and anomalous tissue markers to help highlight significant anatomical variations.
    

    """
def find_length(string):
    """
    Given a diagnostic scan represented as a binary sequence where '0' indicates normal tissue and '1' indicates potential anomalies, find the region of interest that shows the greatest disparity between normal and anomalous tissue patterns. The identified region, represented as a continuous sub-sequence of the scan data, should maximize the absolute difference between the count of normal tissue markers and anomalous tissue markers to help highlight significant anatomical variations.
    

    """
    n = len(string)
    current_sum = 0
    max_sum = 0
    for i in range(n):
        current_sum += 1 if string[i] == '0' else -1
        if current_sum < 0:
            current_sum = 0
        max_sum = max(current_sum, max_sum)
    return max_sum if max_sum else 0