A systematic review of the scientific literature, which included 58 individual studies, found that probiotics may exert benefits against viral respiratory tract infections (RTIs) like the flu.
Of the 58 studies analyzed, nine of them were 9 human randomized controlled trials and the other 49 were animal studies. The human studies used probiotic strains from a variety of genera, including
Lactobacillus,
Lactococcus.
“To the best of our knowledge, this work is the first systematic review to report the role of gut microbiota manipulation on the risk and outcomes of viral RTIs,” stated researchers from Capital Medical University (Beijing), the Beijing Digestive Disease Center, and the Chinese University of Hong Kong in the
Artificial Intelligence Improves Accuracy of Breast Ultrasound Diagnoses
Scientists train deep learning algorithms to classify breast lesions from ultrasound images in a large multi-center study
Ultrasound is an invaluable diagnostic tool for the early detection of breast cancer, but the classification of lesions is sometimes challenging and time consuming. Could artificial intelligence hold the answer to solving these problems? Graphic courtesy of Chinese Medical Journal
April 6, 2021 In 2020, the International Agency for Research on Cancer of the World Health Organization stated that breast cancer accounts for most cancer morbidities and mortalities in women worldwide. This alarming statistic not only necessitates newer methods for the early diagnosis of breast cancer, but also brings to light the importance of risk prediction of the occurrence and development of this disease. Ultrasound is an effective and noninvasive diagnostic procedure that truly saves lives; however, i
Ultrasound is widely used to detect breast cancer early, but misdiagnosis of benign lesions as malignant tumors sometimes leads to unnecessary biopsies. To tackle this problem, scientists conducted a large multi-center study involving 13 hospitals in China to train deep learning models to accurately classify breast masses. Their results, published in Chinese Medical Journal, showcase how artificial intelligence could find use as an assistive tool in ultrasound breast diagnosis and help alleviate workload of doctors.
Artificial Intelligence Improves Breast Ultrasound Diagnosis Accuracy by Colleen Fleiss on April 6, 2021 at 12:34 AM
Deep learning (artificial intelligence) algorithms help classify breast lesions from ultrasound images, said researchers.
In 2020, the International Agency for Research on Cancer of the World Health Organization stated that breast cancer accounts for most cancer morbidities and mortalities in women worldwide. This alarming statistic not only necessitates newer methods for the early diagnosis of breast cancer, but also brings to light the importance of risk prediction of the occurrence and development of this disease.
Ultrasound is an effective and noninvasive diagnostic procedure that truly saves lives; however, it is sometimes difficult for ultrasonologists to distinguish between malignant tumors and other types of benign growths. In particular, in China, breast masses are classified into four categories: benign tumors, malignant tumors, i
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