Novel clinical trial designs emerging from the molecular reclassification of cancer

CA A Cancer Journal for Clinicians, Год журнала: 2025, Номер unknown

Опубликована: Янв. 22, 2025

Abstract Next‐generation sequencing has revealed the disruptive reality that advanced/metastatic cancers have complex and individually distinct genomic landscapes, necessitating a rethinking of treatment strategies clinical trial designs. Indeed, molecular reclassification cancer suggests it is underpinnings disease, rather than tissue origin, mostly drives outcomes. Consequently, oncology trials evolved from standard phase 1, 2, 3 tissue‐specific studies; to tissue‐specific, biomarker‐driven trials; tissue‐agnostic untethered histology (all drug‐centered designs ); and, ultimately, patient‐centered , N‐of‐1 precision medicine studies in which each patient receives personalized, biomarker‐matched therapy/combination drugs. Innovative technologies beyond genomics, including those address transcriptomics, immunomics, proteomics, functional impact, epigenetic changes, metabolomics, are enabling further refinement customization therapy. Decentralized potential improve access approaches for underserved minorities. Evaluation real‐world data, assessment patient‐reported outcomes, use registry protocols, interrogation exceptional responders, exploitation synthetic arms all contributed personalized therapeutic approaches. With greater 1 × 10 12 patterns alterations 4.5 million possible three‐drug combinations, deployment artificial intelligence/machine learning may be necessary optimization individual therapy near future, also permit discovery new treatments real time.

Язык: Английский

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Computational approaches for modeling and structural design of biological systems: A comprehensive review

Progress in Biophysics and Molecular Biology, Год журнала: 2023, Номер 185, С. 17 - 32

Опубликована: Окт. 9, 2023

Язык: Английский

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Advances and applications of biomimetic biomaterials for endogenous skin regeneration

Bioactive Materials, Год журнала: 2024, Номер 39, С. 492 - 520

Опубликована: Май 30, 2024

Endogenous regeneration is becoming an increasingly important strategy for wound healing as it facilitates skin's own regenerative potential self-healing, thereby avoiding the risks of immune rejection and exogenous infection. However, currently applied biomaterials inducing endogenous skin are simplistic in their structure function, lacking ability to accurately mimic intricate tissue regulate disordered microenvironment. Novel biomimetic with precise structure, chemical composition, biophysical properties offer a promising avenue achieving perfect regeneration. Here, we outline recent advances materials induced from aspects structural functional mimicry, physiological process regulation, property design. Furthermore, novel techniques including situ reprograming, flexible electronic skin, artificial intelligence, single-cell sequencing, spatial transcriptomics, which have contribute development highlighted. Finally, prospects challenges further research application discussed. This review provides reference address clinical problems rapid high-quality

Язык: Английский

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Green Extraction of Plant Materials Using Supercritical CO2: Insights into Methods, Analysis, and Bioactivity

Plants, Год журнала: 2024, Номер 13(16), С. 2295 - 2295

Опубликована: Авг. 18, 2024

In recent years, the supercritical CO

Язык: Английский

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The contemporary nexus of medicines security and bioprospecting: a future perspective for prioritizing the patient

Natural Products and Bioprospecting, Год журнала: 2024, Номер 14(1)

Опубликована: Янв. 25, 2024

Abstract Reacting to the challenges presented by evolving nexus of environmental change, defossilization, and diversified natural product bioprospecting is vitally important for advancing global healthcare placing patient benefit as most consideration. This overview emphasizes importance synthetic medicines security proposes areas research action enhance quality, safety, effectiveness sustainable medicines. Following a discussion some contemporary factors influencing products, rethinking paradigms in products interwoven contexts Fourth Fifth Industrial Revolutions based on optimization valuable assets Earth. COP28, necessary seek new classes bioactive metabolites enzymes chemoenzymatic synthesis. Focus placed those performance practice modifications which, manner, establish patient, maintenance their prophylactic treatment needs, priority. Forty initiatives are offered practitioner promoting address issues sustainability, quality control, consistency, neglected diseases assure that medicinal agents will be accessible future generations. Graphical

Язык: Английский

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Medical Robotics and AI-Assisted Diagnostics Challenges for Smart Sustainable Healthcare

Advances in medical diagnosis, treatment, and care (AMDTC) book series, Год журнала: 2024, Номер unknown, С. 304 - 323

Опубликована: Янв. 5, 2024

The healthcare industry is undergoing a momentous transformation with the advent of artificial intelligence (AI) and internet medical things (IoMT), as these technologies are significant in managing patient data, simple surgery, personnel. This development has shown potential to mitigate shortages, health issues, global disasters. Nevertheless, dynamic characteristics system its vulnerability intrusions give rise apprehensions regarding possible compromise endangerment life, reputational harm. study examines influence robots AI-aided diagnostics on smart sustainability.

Язык: Английский

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Deciphering the Lexicon of Protein Targets: A Review on Multifaceted Drug Discovery in the Era of Artificial Intelligence

Molecular Pharmaceutics, Год журнала: 2024, Номер 21(4), С. 1563 - 1590

Опубликована: Март 11, 2024

Understanding protein sequence and structure is essential for understanding protein–protein interactions (PPIs), which are many biological processes diseases. Targeting binding hot spots, regulate signaling growth, with rational drug design promising. Rational uses structural data computational tools to study sites interfaces inhibitors that can change these interactions, thereby potentially leading therapeutic approaches. Artificial intelligence (AI), such as machine learning (ML) deep (DL), has advanced discovery by providing resources methods. Quantum chemistry reactivity, toxicology, screening, quantitative structure–activity relationship (QSAR) properties. This review discusses the methodologies challenges of identifying characterizing spots sites. It also explores strategies applications artificial-intelligence-based technologies target proteins interaction (PPI) spots. provides valuable insights implications. We have demonstrated pathological conditions heat shock 27 (HSP27) matrix metallopoproteinases (MMP2 MMP9) designed using paradigm in a case on molecules cancer treatment. Additionally, implications benzothiazole derivatives anticancer deliberated.

Язык: Английский

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Artificial Intelligence in Head and Neck Cancer: Innovations, Applications, and Future Directions

Current Oncology, Год журнала: 2024, Номер 31(9), С. 5255 - 5290

Опубликована: Сен. 6, 2024

Artificial intelligence (AI) is revolutionizing head and neck cancer (HNC) care by providing innovative tools that enhance diagnostic accuracy personalize treatment strategies. This review highlights the advancements in AI technologies, including deep learning natural language processing, their applications HNC. The integration of with imaging techniques, genomics, electronic health records explored, emphasizing its role early detection, biomarker discovery, planning. Despite noticeable progress, challenges such as data quality, algorithmic bias, need for interdisciplinary collaboration remain. Emerging innovations like explainable AI, AI-powered robotics, real-time monitoring systems are poised to further advance field. Addressing these fostering among experts, clinicians, researchers crucial developing equitable effective applications. future HNC holds significant promise, offering potential breakthroughs diagnostics, personalized therapies, improved patient outcomes.

Язык: Английский

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An in-depth review of AI-powered advancements in cancer drug discovery

Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease, Год журнала: 2025, Номер unknown, С. 167680 - 167680

Опубликована: Янв. 1, 2025

Язык: Английский

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Integrating AI into Cancer Immunotherapy—A Narrative Review of Current Applications and Future Directions

Diseases, Год журнала: 2025, Номер 13(1), С. 24 - 24

Опубликована: Янв. 20, 2025

Background: Cancer remains a leading cause of morbidity and mortality worldwide. Traditional treatments like chemotherapy radiation often result in significant side effects varied patient outcomes. Immunotherapy has emerged as promising alternative, harnessing the immune system to target cancer cells. However, complexity responses tumor heterogeneity challenges its effectiveness. Objective: This mini-narrative review explores role artificial intelligence [AI] enhancing efficacy immunotherapy, predicting responses, discovering novel therapeutic targets. Methods: A comprehensive literature was conducted, focusing on studies published between 2010 2024 that examined application AI immunotherapy. Databases such PubMed, Google Scholar, Web Science were utilized, articles selected based relevance topic. Results: significantly contributed identifying biomarkers predict immunotherapy by analyzing genomic, transcriptomic, proteomic data. It also optimizes combination therapies most effective treatment protocols. AI-driven predictive models help assess response guiding clinical decision-making minimizing effects. Additionally, facilitates discovery targets, neoantigens, enabling development personalized immunotherapies. Conclusions: holds immense potential transforming related data privacy, algorithm transparency, integration must be addressed. Overcoming these hurdles will likely make central component future offering more treatments.

Язык: Английский

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