Surgical treatment of the thyroid nodes of uncertain cytological structure

Objective. To determine the clinical factors of the enhanced risk of malignancy in patients, having categories of cytological conclusions III (AUS/FLUS) and IV (FN/SFN). Маterials and methods. There were 11 621 patients examined with cytological investigation of thyroidal nodes under ultrasonographic control. Cytological conclusions of category ІІІ (AUS/FLUS) have characterized 621 nodes, while conclusions of category IV (FN/SFN) - 1215 nodes. There were operated 150 patients, owing cytological conclusions of category III, 436 patients - with cytological conclusions of category IV, and 11 patients, having categories of cytological conclusions III and IV. Results. Papillary and follicular carcinomas were revealed in 36% patients, suffering thyroidal nodes of the Bethesda III category, what is trustworthily more frequently (р < 0.01), than in the patients, suffering thyroidal nodes of the Bethesda category IV (25.1%). There were revealed such factors of risk for malignant properties in patients, suffering thyroidal nodes with the Bethesda category III, as: the node size 2 сm and less, its hypoechogeneicity, uneven borders, irregular form, and presence of hyperechogenic foci (р < 0.01). Cystic degeneration of a node constitutes the sign of its benign origin (р < 0.01). Conclusion. High risk of malignant changes (36%) in thyroidal nodes, in accordance to cytological conclusion of the Bethesda category III revealed, trusts the need for enhanced oncological suspicion and conduction of surgical treatment. Тhe additional factors of malignant changes must be taking into account as well, such as the node size 2 сm and less, its hypoechogeneicity, uneven borders, irregular form, and presence of hyperechogenic foci

AI is a viable alternative to high throughput screening: a 318-target study

: High throughput screening (HTS) is routinely used to identify bioactive small molecules. This requires physical compounds, which limits coverage of accessible chemical space. Computational approaches combined with vast on-demand chemical libraries can access far greater chemical space, provided that the predictive accuracy is sufficient to identify useful molecules. Through the largest and most diverse virtual HTS campaign reported to date, comprising 318 individual projects, we demonstrate that our AtomNet® convolutional neural network successfully finds novel hits across every major therapeutic area and protein class. We address historical limitations of computational screening by demonstrating success for target proteins without known binders, high-quality X-ray crystal structures, or manual cherry-picking of compounds. We show that the molecules selected by the AtomNet® model are novel drug-like scaffolds rather than minor modifications to known bioactive compounds. Our empirical results suggest that computational methods can substantially replace HTS as the first step of small-molecule drug discovery

CABINET OF A HEALTHY CHILD IN THE CONTEXT OF HEALTH CARE REFORM

One of the key tasks of the children’s polyclinic is the prevention of childhood diseases. This issue is devoted to many studies, which  unfortunately suggest a weakening of preventive positions in recent years. Increase level requirements for the provision of primary  health care for children’s population and priority prevention areas leads to the increase of the role of the room of a healthy child, and  necessitates changes in the organization of work and equipping of this unit.  Based on the existing laws and regulations and modern ideas about the key role of a room of healthy child in the preventive work  and maintenance of children’s health, we have developed and submitted proposals on optimization of work of this department  of the children’s clinic