2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC), Год журнала: 2024, Номер unknown, С. 1983 - 1989
Опубликована: Июль 2, 2024
Язык: Английский
Diagnostics, Год журнала: 2025, Номер 15(3), С. 397 - 397
Опубликована: Фев. 6, 2025
Radioimmunotherapy (RIT) is a novel cancer treatment that combines radiotherapy and immunotherapy to precisely target tumor antigens using monoclonal antibodies conjugated with radioactive isotopes. This approach offers personalized, systemic, durable treatment, making it effective in cancers resistant conventional therapies. Advances artificial intelligence (AI) present opportunities enhance RIT by improving precision, efficiency, personalization. AI plays critical role patient selection, planning, dosimetry, response assessment, while also contributing drug design classification. review explores the integration of into RIT, emphasizing its potential optimize entire process advance personalized care.
Язык: Английский
Процитировано
2
Scientific Reports, Год журнала: 2025, Номер 15(1)
Опубликована: Март 5, 2025
Язык: Английский
Процитировано
1
Trends in Medical Research, Год журнала: 2024, Номер 19(1), С. 220 - 235
Опубликована: Июнь 11, 2024
Artificial intelligence has proven to be a game-changing force in health sectors throughout Africa offering prospects for significant development.In sub-Saharan Africa, using AI healthcare, especially areas with limited resources, holds valuable promise transforming and improving healthcare.This article takes an excellent look at how is being integrated into the African sector, as well examining policy frameworks, challenges future possibilities.This begins by giving overview of highlighting groundbreaking impact technologies combating addressing healthcare that occur within countries.Ranges from mobile-based diagnostics precision medicine, artificial its potential capabilities diagnosing, treating operations providing solutions resource constraints accessibility challenges.However, despite these advancements, there are still obstacles such infrastructure limitations, concerns about data privacy gaps professionals' training hinder realization AI's envisions where adoption fully incorporated community initiatives enhanced access services betterment across countries.While barriers like unequal persist, need governments stakeholders prioritize digital catalysts sector Africa.
Язык: Английский
Процитировано
7
Molecules, Год журнала: 2024, Номер 29(16), С. 3954 - 3954
Опубликована: Авг. 21, 2024
Inflammatory bowel disease (IBD) is a chronic, lifelong disorder characterized by inflammation of the gastrointestinal (GI) tract. The exact etiology IBD remains incompletely understood due to its multifaceted nature, which includes genetic predisposition, environmental factors, and host immune response dysfunction. Currently, there no cure for IBD. This review discusses available treatment options challenges they present. Importantly, we examine emerging therapeutics, such as biologics immunomodulators, that offer targeted strategies While many patients do not respond adequately most biologics, recent clinical trials combining with small-molecule drugs (SMDs) have provided new insights into improving landscape. Furthermore, numerous novel specific therapeutic targets been identified. high cost poses significant barrier treatment, but this challenge may be alleviated development more affordable biosimilars. Additionally, point-of-care protein biomarkers from serum plasma are showing potential enhancing precision diagnosis prognosis. Several natural products (NPs), including crude extracts, small molecules, peptides, demonstrated promising anti-inflammatory activity in high-throughput screening (HTS) systems advanced artificial intelligence (AI)-assisted platforms, molecular docking ADMET prediction. These platforms advancing search alternative therapies derived sources, potentially leading safer fewer side effects.
Язык: Английский
Процитировано
6
Current Microbiology, Год журнала: 2024, Номер 81(8)
Опубликована: Июнь 21, 2024
Язык: Английский
Процитировано
5
Journal Of Big Data, Год журнала: 2024, Номер 11(1)
Опубликована: Май 2, 2024
Язык: Английский
Процитировано
4
Journal of Bio-X Research, Год журнала: 2024, Номер 7
Опубликована: Янв. 1, 2024
Artificial intelligence (AI) and machine learning (ML) are revolutionizing the pharmaceutical industry, particularly in drug development delivery. These technologies enable precision medicine by analyzing extensive datasets to optimize formulations predict patient responses. AI-driven models enhance nanoparticle-based carriers, improving their stability, bioavailability, targeting accuracy. ML also facilitates real-time monitoring adaptive control of release, ensuring better therapeutic outcomes. This review explores integration AI delivery, highlighting potential accelerate development, reduce costs, advance personalized medicine.
Язык: Английский
Процитировано
4
International Journal of ADVANCED AND APPLIED SCIENCES, Год журнала: 2025, Номер 12(2), С. 52 - 61
Опубликована: Фев. 1, 2025
This review explores emerging technologies in the healthcare sector, specifically focusing on blockchain and artificial intelligence (AI). Data trends were gathered from documents published Web of Sciences various Google surveys conducted by different governing bodies. The aims to examine potential integrating AI enhance promoting use generalizable analytical that can be integrated into comprehensive risk management strategies. article discusses how utilized as an open network for sharing authorizing information, which creates opportunities developing reliable models e-health. AI, using algorithms decision-making capabilities, help professionals access patient medical records stored blockchain. integration is expected improve efficiency system, reduce costs, democratize delivery incorporating latest technological advances. Cryptographic blockchains are essential securely manage information. main goal this develop a secure e-health framework technology, referred SEHFUAIBC. design science methodology (DSM) was used study. SEHFUAIBC includes seven components: advanced encryption algorithms, control, multi-factor authentication, AI-based threat detection, blockchain-based data sharing, privacy protection, audit trail. evaluated real-world scenarios, results show combination provides hybrid security techniques crucial protecting unauthorized access.
Язык: Английский
Процитировано
0
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
0
Frontiers in Genetics, Год журнала: 2025, Номер 16
Опубликована: Апрель 10, 2025
Breast cancer is one of the most common malignancies among women globally, with its incidence rate continuously increasing, posing a serious threat to women's health. Although current treatments, such as drugs targeting estrogen receptor alpha (ERα), have extended patient survival, issues drug resistance and severe side effects remain widespread. This study proposes machine learning-based optimization model for anti-breast candidate drugs, aimed at enhancing biological activity optimizing ADMET (Absorption, Distribution, Metabolism, Excretion, Toxicity) properties through multi-objective optimization. Initially, grey relational analysis Spearman correlation were performed on molecular descriptors 1,974 compounds, identifying 91 key descriptors. A Random Forest combined Shapley Additive Explanations (SHAP) values was then used further select top 20 greatest impact activity. The constructed Quantitative Structure-Activity Relationship (QSAR) model, using algorithms LightGBM, Forest, XGBoost, achieved an R2 value 0.743 prediction, demonstrating strong predictive performance. Additionally, multi-model fusion strategy Particle Swarm Optimization (PSO) algorithm employed optimize both properties, thereby improving prediction Caco-2, CYP3A4, hERG, HOB, MN properties. For example, best predicting Caco-2 F1 score 0.8905, while CYP3A4 reached 0.9733. provides novel efficient tool development, offering significant improvements in pharmacokinetic practical implications future drugs.
Язык: Английский
Процитировано
0