Dual Checkpoint Aptamer Immunotherapy: Unveiling Tailored Cancer Treatment Targeting CTLA-4 and NKG2A.

Recent strides in immunotherapy have illuminated the crucial role of CTLA-4 and PD-1/PD-L1 pathways in contemporary oncology, presenting both promises and challenges in response rates and adverse effects. This study employs a computational biology tool (in silico approach) to craft aptamers capable of binding to dual receptors, namely, inhibitory CTLA4 and NKG2A, thereby unleashing both T and NK cells and enhancing CD8 T and NK cell functions for tumor cell lysis. Computational analysis highlighted AYA22T-R2-13 with HADDOCK scores of -78.

THE IMPACT OF THE INTRODUCTION OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES ON THE CURRENT HUMAN RIGHTS AND FREEDOMS CONCEPT.

Artificial Intelligence (AI) has undeniably transformed the landscape of healthcare, offering unparalleled potential to enhance patient care, streamline diagnostics, and improve overall healthcare outcomes. As AI continues to make its way into the medical field, it has raised crucial questions about regulation, ethics, and patient safety and that is guiding us to the core question - how that will impact current human rights and freedoms concept, and is this concept ready for such an impact? The aim of the research is to identify and evaluate the potential impact of AI introduction in healthcare on modern human rights and freedoms concept, and on the basis of discovered complexities to propose ways to eliminate them. This study was conducted during June-October of 2023.

CONSIDERATION OF THE PECULIARITIES OF A PERSON WITH POST-TRAUMATIC STRESS DISORDER IN MEDIATOR`S PROFESSIONAL ACTIVITY.

Objective: Aim: To study and take into account the behavioral characteristics of a person with post-traumatic stress disorder (PTSD) during the mediation procedure and to experimentally test the peculiarities of PTSD in young adults and to study the causal relationship between PTSD and personality resilience.

Patients And Methods: Materials and Methods: The diagnosis was carried out using the methods of diagnosing resilience (S. Muddy in the adaptation of D.

T helper (Th) cell profiles and cytokines/chemokines in characterization, treatment, and monitoring of autoimmune diseases.

Autoimmune diseases (AD) consist of a spectrum of disease entities whose etiologies are very complex and still not well understood. Every individual has the potential for developing AD under appropriate conditions because the body contains lymphocytes that are potentially reactive with self-antigens. The aims of this study are to (1) explore the flow cytometry method to identify the frequency of various circulating CD4 T helper (Th) cell-subsets, including Th1, Th2, Th9, Th17, Th17.