The Evolving Landscape of Ovarian Cancer: Innovations in Biotechnology and Artificial Intelligence- Based Screening and Treatment.

IF 4.7 2区 医学 Q2 ONCOLOGY
Current Treatment Options in Oncology Pub Date : 2025-07-01 Epub Date: 2025-06-09 DOI:10.1007/s11864-025-01331-7
Revathi Unni K, Amrisa Pavithra Elango, Roobanayaki Subramanian, Santhy Ks
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引用次数: 0

Abstract

Opinion statement: Ovarian Cancer (OC) is a serious health problem that affects a great number of women globally. It is still one of the deadliest gynecological cancers due to restricted treatment choices and late-stage diagnosis. Worldwide, OC ranks as the seventh most commonly diagnosed kind of malignant neoplasm in women and the eighth leading cause of death in them. Because of several reasons such as genetic and economic ones, the epidemiology of OC shows disparities between races and countries. Lack of public screening program makes it difficult to diagnose this cancer earlier and as a result, most OCs are detected after they have progressed to other parts. However, advances in biotechnology and artificial intelligence (AI) are transforming both early detection and treatment strategies. Over the years, the application of AI in OC screening has shown promising results. The best way to get the drawbacks of traditional treatment methods is to combine newly developed strategies with existing treatment choices. Additionally, clinical researches are crucial to ensure the practical implementation of these advancements in healthcare settings. Utilizing state-of-the-art technologies and creative strategies will offer significant opportunity to lessen the worldwide impact of this curable cancer thereby enhancing women's quality of life in low and middle income countries (LMICs) and beyond. Hence, this review explores recent breakthroughs in ovarian cancer screening and therapy, highlighting the synergistic role of biotechnology and AI in improving patient outcomes that reshapes the ovarian cancer treatment landscape.

卵巢癌的发展前景:基于生物技术和人工智能的筛查和治疗的创新。
意见声明:卵巢癌是影响全球大量妇女的严重健康问题。由于有限的治疗选择和晚期诊断,它仍然是最致命的妇科癌症之一。在世界范围内,卵巢癌是妇女中第七大最常诊断的恶性肿瘤,也是妇女死亡的第八大原因。由于遗传、经济等多方面的原因,不同种族、不同国家的OC流行病学存在差异。由于缺乏公共筛查计划,很难早期诊断出这种癌症,因此,大多数OCs在进展到其他部位后才被发现。然而,生物技术和人工智能(AI)的进步正在改变早期检测和治疗策略。多年来,人工智能在卵巢癌筛查中的应用取得了可喜的成果。了解传统治疗方法缺点的最好方法是将新开发的策略与现有的治疗选择相结合。此外,临床研究对于确保这些进步在医疗保健环境中的实际实施至关重要。利用最先进的技术和创造性战略将为减轻这种可治愈癌症的全球影响提供重要机会,从而提高低收入和中等收入国家及其他国家妇女的生活质量。因此,本综述探讨了卵巢癌筛查和治疗方面的最新突破,强调了生物技术和人工智能在改善患者预后方面的协同作用,从而重塑了卵巢癌治疗前景。
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
CiteScore
7.10
自引率
0.00%
发文量
113
审稿时长
>12 weeks
期刊介绍: This journal aims to review the most important, recently published treatment option advances in the field of oncology. By providing clear, insightful, balanced contributions by international experts, the journal intends to facilitate worldwide approaches to cancer treatment. We accomplish this aim by appointing international authorities to serve as Section Editors in key subject areas, such as endocrine tumors, lymphomas, neuro-oncology, and cancers of the breast, head and neck, lung, skin, gastrointestinal tract, and genitourinary region. Section Editors, in turn, select topics for which leading experts contribute comprehensive review articles that emphasize new developments and recently published papers of major importance, highlighted by annotated reference lists. We also provide commentaries from well-known oncologists, and an international Editorial Board reviews the annual table of contents, suggests articles of special interest to their country/region, and ensures that topics are current and include emerging research.
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