Perspectives on the Current and Future State of Artificial Intelligence in Medical Genetics DOI Creative Commons
Benjamin D. Solomon, Morgan Cheatham, Thales A. C. de Guimarães

и другие.

American Journal of Medical Genetics Part A, Год журнала: 2025, Номер unknown

Опубликована: Май 15, 2025

ABSTRACT Artificial intelligence (AI) is rapidly transforming numerous aspects of daily life, including clinical practice and biomedical research. In light this rapid transformation, in the context medical genetics, we assembled a group leaders field to respond question about how AI affecting, especially will affect, genetics. The authors who contributed collection essays intentionally represent different areas expertise, career stages, geographies, include diverse types clinicians, computer scientists, researchers. individual pieces cover wide range related genetics; expect that these may provide helpful windows into ways which being actively studied, used, considered

Язык: Английский

The Role of AI-Based Chatbots in Public Health Emergencies: A Narrative Review DOI Creative Commons
Francesco Branda, Massimo Stella, C. Ceccarelli

и другие.

Future Internet, Год журнала: 2025, Номер 17(4), С. 145 - 145

Опубликована: Март 26, 2025

The rapid emergence of infectious disease outbreaks has underscored the urgent need for effective communication tools to manage public health crises. Artificial Intelligence (AI)-based chatbots have become increasingly important in these situations, serving as critical resources provide immediate and reliable information. This review examines role AI-based emergencies, particularly during outbreaks. By providing real-time responses inquiries, help disseminate accurate information, correct misinformation, reduce anxiety. Furthermore, AI play a vital supporting healthcare systems by triaging offering guidance on symptoms preventive measures, directing users appropriate services. not only enhances access information but also helps alleviate workload professionals, allowing them focus more complex tasks. However, implementation is without challenges. Issues such accuracy user trust, ethical considerations regarding data privacy are factors that be addressed optimize their effectiveness. Additionally, adaptability rapidly evolving scenarios essential sustained relevance. Despite challenges, potential AI-driven transform emergencies significant. highlights importance continuous development integration into strategies enhance preparedness response efforts Their accessible, accurate, timely makes indispensable modern emergency management.

Язык: Английский

Процитировано

0

Transforming Pharmacogenomics and CRISPR Gene Editing with the Power of Artificial Intelligence for Precision Medicine DOI Creative Commons
Amit Kumar Srivastav, Manoj K. Mishra,

James W. Lillard

и другие.

Pharmaceutics, Год журнала: 2025, Номер 17(5), С. 555 - 555

Опубликована: Апрель 24, 2025

Background: Advancements in pharmacogenomics, artificial intelligence (AI), and CRISPR gene-editing technology are revolutionizing precision medicine by enabling highly individualized therapeutic strategies. Artificial intelligence-driven computational techniques improve biomarker discovery drug optimization while pharmacogenomics helps to identify genetic polymorphisms affecting metabolism, efficacy, toxicity. Genetically editing based on presents a precise method for changing gene expression repairing damaging mutations. This review explores the convergence of these three fields enhance improved medicine. Method: A methodical study current literature was performed effects response variability, intelligence, predictive modeling applications. Results: Driven allows clinicians classify patients select appropriate medications depending their DNA profiles. reduces side effect risk increases efficacy. Precision modifications made feasible therapy outcomes oncology, metabolic illnesses, neurological diseases, other fields. The integration streamlines genome-editing applications, lowers off-target effects, specificity. Notwithstanding advances, issues including biases, moral dilemmas, legal constraints still arise. Conclusions: synergy alters letting customized interventions. Clinically translating, however, hinges resolving data privacy concerns, assuring equitable access, strengthening systems. Future research should focus refining technologies, enhancing AI-driven developing guidelines applying tools going forward.

Язык: Английский

Процитировано

0

Current perspectives in drug targeting intrinsically disordered proteins and biomolecular condensates DOI Creative Commons
Caolitao Qin, Yunlong Wang, Jianming Zheng

и другие.

BMC Biology, Год журнала: 2025, Номер 23(1)

Опубликована: Май 5, 2025

Intrinsically disordered proteins (IDPs) and biomolecular condensates are critical for cellular processes physiological functions. Abnormal can cause diseases such as cancer neurodegenerative disorders. IDPs, including intrinsically regions (IDRs), were previously considered undruggable due to their lack of stable binding pockets. However, recent evidence indicates that targeting them influence processes. This review explores current strategies target IDPs condensates, potential improvements, the challenges opportunities in this evolving field.

Язык: Английский

Процитировано

0

Advancements and implications of artificial intelligence for early detection, diagnosis and tailored treatment of cancer DOI
Sonia Chadha, Sayali Mukherjee, Somali Sanyal

и другие.

Seminars in Oncology, Год журнала: 2025, Номер 52(3), С. 152349 - 152349

Опубликована: Май 8, 2025

Язык: Английский

Процитировано

0

Perspectives on the Current and Future State of Artificial Intelligence in Medical Genetics DOI Creative Commons
Benjamin D. Solomon, Morgan Cheatham, Thales A. C. de Guimarães

и другие.

American Journal of Medical Genetics Part A, Год журнала: 2025, Номер unknown

Опубликована: Май 15, 2025

ABSTRACT Artificial intelligence (AI) is rapidly transforming numerous aspects of daily life, including clinical practice and biomedical research. In light this rapid transformation, in the context medical genetics, we assembled a group leaders field to respond question about how AI affecting, especially will affect, genetics. The authors who contributed collection essays intentionally represent different areas expertise, career stages, geographies, include diverse types clinicians, computer scientists, researchers. individual pieces cover wide range related genetics; expect that these may provide helpful windows into ways which being actively studied, used, considered

Язык: Английский

Процитировано

0