Harnessing the power of AI-based models to accelerate drug discovery against immune diseases.

IF 3.9 3区医学 Q2 IMMUNOLOGY

Expert Review of Clinical Immunology Pub Date : 2024-10-01 Epub Date: 2024-07-01 DOI:10.1080/1744666X.2024.2373915

Philippe Moingeon

引用次数: 0

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利用人工智能模型的力量，加快针对免疫疾病的药物研发。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Expert Review of Clinical Immunology IMMUNOLOGY-

CiteScore

7.60

自引率

2.30%

发文量

221

审稿时长

6-12 weeks

期刊介绍： Expert Review of Clinical Immunology (ISSN 1744-666X) provides expert analysis and commentary regarding the performance of new therapeutic and diagnostic modalities in clinical immunology. Members of the International Editorial Advisory Panel of Expert Review of Clinical Immunology are the forefront of their area of expertise. This panel works with our dedicated editorial team to identify the most important and topical review themes and the corresponding expert(s) most appropriate to provide commentary and analysis. All articles are subject to rigorous peer-review, and the finished reviews provide an essential contribution to decision-making in clinical immunology. Articles focus on the following key areas: • Therapeutic overviews of specific immunologic disorders highlighting optimal therapy and prospects for new medicines • Performance and benefits of newly approved therapeutic agents • New diagnostic approaches • Screening and patient stratification • Pharmacoeconomic studies • New therapeutic indications for existing therapies • Adverse effects, occurrence and reduction • Prospects for medicines in late-stage trials approaching regulatory approval • Novel treatment strategies • Epidemiological studies • Commentary and comparison of treatment guidelines Topics include infection and immunity, inflammation, host defense mechanisms, congenital and acquired immunodeficiencies, anaphylaxis and allergy, systemic immune diseases, organ-specific inflammatory diseases, transplantation immunology, endocrinology and diabetes, cancer immunology, neuroimmunology and hematological diseases.