Результаты поиска

New advances in the treatment of chronic rhinosinusitis with nasal polyps from pathophysiology to biologic targeted therapy.

BACKGROUND: Chronic rhinosinusitis with nasal polyps (CRSwNP) is a chronic airway disease characterized mainly by type 2 inflammation, which … actory CRSwNP. RESULTS: In-depth understanding of CRSwNP pathophysiology has promoted the shift to precision medicine. Biologics including dupilumab (anti-IL-4Rα), mepolizumab (anti-IL-5), omalizumab (anti-IgE) and tezepelumab (anti-TSLP) can precisely target key molecules in type 2 inflammatory pathways, achieving effective and long-lasting disease control, reduci …

Artificial intelligence in gut microbiome research: Toward predictive diagnostics for neurodegenerative disorders.

The human gut microbiota plays a pivotal role in maintaining host immunity, regulating metabolism, and sustaining neurophysiological homeost … vely, AI-driven multi-omics strategies hold transformative potential for advancing microbiome-based precision medicine in NDDs.

Ultrasound Guidance to Augment Needle Electromyography Precision in the Complex Nerve Injury Setting.

The rise in popularity of nerve transfer surgery in individuals with peripheral nerve and spinal cord injuries has elevated the importance of the preoperative electrodiagnostic examination. Needle electromyography (EMG) provides peripheral nerve surgeons with precise information about donor and recipient muscle health, aiding in decisions regarding surgical options, donor muscle viability, and timing of intervention. However, traditional anatomical landmarks for typical donor and recipient nerve-muscle combinations in nerve transfer surgery are either not well described in the literature or be

One Step Closer to Conversational Medical Records: ChatGPT Parses Psoriasis Treatments from EMRs.

Background: Large Language Models (LLMs), such as ChatGPT, are increasingly applied in medicine for summarization, clinical decision support, and diagnostic assistance, including recent work in dermatology. Previous AI and NLP models in dermatology have mainly focused on lesion classification, diagnostic support, and patient education, while extracting structured treatment information from unstructured dermatology records remains underexplored. We evaluated ChatGPT-4o's ability to identify psoriasis treatments from free-text documentation, compared with expert annotations. Methods: In total, 9

Comparison of intraocular lens power formulas for negative diopter intraocular lens implantation for high myopia.

PURPOSE: To compare the accuracy of intraocular lens (IOL) power calculation formulas for myopic eyes requiring negative diopter-powered IOLs. DESIGN: Retrospective case series. SETTING: Kim's Eye Hospital, College of Medicine, Konyang University, Seoul, South Korea and Yeouido St. Mary Hospital, Seoul, South Korea. METHODS: 61 eyes that underwent phacoemulsification with implantation of a negative power IOL were investigated. The trueness, precision, and accuracy of IOL power calculation were assessed for the Barrett Universal II (BUII), EVO 2.0, Haigis, Hoffer QST, Holladay 1, and SRK/T f

Apoptotic signatures allow early and rapid screening of drug-induced liver injury to accelerate drug discovery.

BACKGROUND: Early detection of drug-induced liver injury (DILI) during drug development is crucial for reducing drug attrition and ensuring … species, in vitro and in vivo models, and therapeutic modalities. In addition, we apply AEGIS in a precision medicine context during drug-development within the pharmaceutical industry and investigate the contribution of underlying liver disease on DILI severity. Our findings indicate that cells from patients with metabolic dysfunction-associated steatotic liver di …

Participant characteristics in the effectiveness of lifestyle interventions to optimize gestational weight gain: a systematic review and meta-analysis.

BACKGROUND: Precision prevention involves tailoring interventions to the unique characteristics of a group or individual to maximize their e … uld consider physiological as well as social characteristics, in line with a holistic framework for precision medicine.

Advancing medication compounding: Use of a pharmaceutical 3D printer to auto-fill minoxidil capsules for dispensing to patients in a community pharmacy.

Compounding medications in pharmacies is a common practice for patients with prescriptions that are not available commercially, but it is a … epare reliable and precise personalised medication for patients, marking a valuable step forward in precision medicine.

Facts and Hopes: CAR T-Cell Therapy and Immune Contexture in Non-Hodgkin Lymphoma.

The genetic reprogramming of T cells with chimeric antigen receptors (CAR) specifically targeting CD19 in B-cell malignancies or B-cell matu … ma, across patients receiving CAR T-cell therapy in the second- and third-line settings, supporting precision medicine in developing next-generation cell therapies for hematologic malignancies. The evolution of the tumor microenvironment with therapy lines was also demonstrated, supporting earlier intervention with CAR T-cell therapy. Ongoing translational efforts, …

The first-in-Africa ex vivo drug sensitivity testing platform identifies novel drug combinations for South African leukaemia patient cohort.

In South Africa, leukemia remains a major health concern, posing significant challenges in treatment due to its varied subtypes. There is an … ment. Further exploration and validation of these findings could significantly contribute to cancer precision medicine efforts in South Africa.

Automated high-fidelity 3D reconstruction of middle-ear ossicles from low-resolution clinical CT using a deep learning pipeline.

This study validates an automated deep learning framework for generating high-fidelity 3D models of the middle-ear ossicles from low-resolut … racy of biomechanical finite element simulations and serves as a foundational step toward advancing precision medicine in otologic surgery and custom prosthesis design.

Atomically accurate de novo design of antibodies with RFdiffusion.

Despite the central role of antibodies in modern medicine, no method currently exists to design novel, epitope-specific antibodies entirely in silico. Instead, antibody discovery currently relies on immunization, random library screening or the isolation of antibodies directly from patients1. Here we demonstrate that combining computational protein design using a fine-tuned RFdiffusion2 network with yeast display screening enables the de novo generation of antibody variable heavy chains (VHHs), single-chain variable fragments (scFvs) and full antibodies that bind to user-specified epitopes wit

Нейроинфламмирование через спектр нейродегенеративных заболеваний: механизмы и терапевтические границы.

Нейроинфламмация является центральным и динамичным фактором в патофизиологии множественных нейродегенеративных расстройств, включая болезнь Альцгеймера, болезнь Паркинсона, амиотропический боковой склероз, болезнь Хантингтона и множественный склероз. Вместо того чтобы быть простым следствием нейронных травм, провокационных процессов, которые осуществляются микроглией, астроцитами, периферийными иммунными клетками и целым рядом молекулярных посредников, активно влияют на возникновение, прогрессирование и клинические проявления заболеваний.Существо предложения: Цель настоящего обзора заключается

Совпадение в аннотации оригинала
BACKGROUND: Neuroinflammation is a central and dynamic driver in the pathophysiology of multiple neurodegenerative disorders, including Alzh … ntegrating multidisciplinary insights into immune-brain communication will be critical to advancing precision medicine approaches for neurodegenerative disorders.

Evaluation and experience from routine use of chemiluminescence assays for serological screening of blood and plasma donations on the Alinity s system and the Alinity i system, two new fully-automated immunoassay systems in Poland.

In Poland, independent evaluations under the auspices of the Institute of Hematology and Transfusion Medicine (IHTM) are mandated for any new device, assay, systems for screening samples from whole blood and plasma donors prior to implementation by Blood Transfusion Center (BTC). In last 5 years, two new systems were introduced to the market by Abbott GmbH, namely the Alinity s and the Alinity i. The evaluations performed for these two systems included the assessment of sensitivity, specificity and precision for each of the four mandatory serological screening markers in Poland: Hepatitis B Su

Endoscopic Extended Sinus Surgery for Patients with Severe Chronic Rhinosinusitis with Nasal Polyps, the Choice of Mucoplasty: A Systematic Review.

PURPOSE OF REVIEW: The advances in the knowledge of the molecular basis of the inflammatory response in chronic rhinosinusitis with nasal polyps (CRSwNP) have led the management of these patients towards personalized and precision medicine. Surgery has been positioned as a suitable alternative in patients who do not achieve control with appropriate medical treatment, but polypoid recurrences remain a constraint. The emergence of new surgical approaches based on patient phenotyping and the poor disease control associated with type 2 inflammatory phenotype makes it necessary to review the role o…

Predicting the functional effects of voltage-gated potassium channel missense variants with multi-task learning.

BACKGROUND: Variants in genes encoding voltage-gated potassium channels are associated with a broad spectrum of neurological diseases including epilepsy, ataxia, and intellectual disability. Knowledge of the resulting functional changes, characterized as overall ion channel gain- or loss-of-function, is essential to guide clinical management including precision medicine therapies. However, for an increasing number of variants, little to no experimental data is available. New tools are needed to evaluate variant functional effects. METHODS: We catalogued a comprehensive dataset of 959 function…

Genome Editing in iPSC-Based Neural Systems: From Disease Models to Future Therapeutic Strategies.

Therapeutic advances for neurological disorders are challenging due to limited accessibility of the human central nervous system and incompl … me. The synergy of iPSC-based model systems and gene editing will play a vital role in the route to precision medicine and the clinical translation of genome editing-based therapies.

Towards Precision Therapies for Inherited Disorders of Neurodegeneration with Brain Iron Accumulation.

BACKGROUND: Neurodegeneration with brain iron accumulation (NBIA) disorders comprise a group of rare but devastating inherited neurological diseases with unifying features of progressive cognitive and motor decline, and increased iron deposition in the basal ganglia. Although at present there are no proven disease-modifying treatments, the severe nature of these monogenic disorders lends to consideration of personalized medicine strategies, including targeted gene therapy. In this review we summarize the progress and future direction towards precision therapies for NBIA disorders. METHODS: Th

Advances and highlights in biomarkers of allergic diseases.

During the past years, there has been a global outbreak of allergic diseases, presenting a considerable medical and socioeconomical burden. A large fraction of allergic diseases is characterized by a type 2 immune response involving Th2 cells, type 2 innate lymphoid cells, eosinophils, mast cells, and M2 macrophages. Biomarkers are valuable parameters for precision medicine as they provide information on the disease endotypes, clusters, precision diagnoses, identification of therapeutic targets, and monitoring of treatment efficacies. The availability of powerful omics technologies, together w…

Machine learning-based classification and diagnosis of clinical cardiomyopathies.

Dilated cardiomyopathy (DCM) and ischemic cardiomyopathy (ICM) are two common types of cardiomyopathies leading to heart failure. Accurate diagnostic classification of different types of cardiomyopathies is critical for precision medicine in clinical practice. In this study, we hypothesized that machine learning (ML) can be used as a novel diagnostic approach to analyze cardiac transcriptomic data for classifying clinical cardiomyopathies. RNA-Seq data of human left ventricle tissues were collected from 41 DCM patients, 47 ICM patients, and 49 nonfailure controls (NF) and tested using five ML …