Revolutionizing clinical trials: the role of AI in accelerating medical breakthroughs

International Journal of Surgery, Journal Year: 2023, Volume and Issue: 109(12), P. 4211 - 4220

Published: Oct. 6, 2023

Clinical trials are the essential assessment for safe, reliable, and effective drug development. Data-related limitations, extensive manual efforts, remote patient monitoring, complexity of traditional clinical on patients drive application Artificial Intelligence (AI) in medical healthcare organisations. For expeditious streamlined trials, a personalised AI solution is best utilisation. provides broad utility options through structured, standardised, digitally driven elements research. The time-consuming process with recruitment, enrolment, frequent adherence retention. With an AI-powered tool, automated data can be generated managed trial lifecycle all records history as patient-centric AI. intelligently interpret data, feed downstream systems, automatically fill out required analysis report. This article explains how has revolutionised innovative ways collecting biosimulation, early disease diagnosis overcomes challenges more precisely cost time reduction, improved efficiency, development research less need rework. future implications to accelerate important because its fast output overall utility.

Language: Английский

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Advances in artificial intelligence for drug delivery and development: A comprehensive review

Computers in Biology and Medicine, Journal Year: 2024, Volume and Issue: 178, P. 108702 - 108702

Published: June 7, 2024

Language: Английский

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Development and use of machine learning algorithms in vaccine target selection

npj Vaccines, Journal Year: 2024, Volume and Issue: 9(1)

Published: Jan. 20, 2024

Computer-aided discovery of vaccine targets has become a cornerstone rational design. In this article, I discuss how Machine Learning (ML) can inform and guide key computational steps in design concerned with the identification B T cell epitopes correlates protection. provide examples ML models, as well types data predictions for which they are built. argue that interpretable potential to improve immunogens also tool scientific discovery, by helping elucidate molecular processes underlying vaccine-induced immune responses. outline limitations challenges terms availability method development need be addressed bridge gap between advances their translational application

Language: Английский

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Tribulations and future opportunities for artificial intelligence in precision medicine

Journal of Translational Medicine, Journal Year: 2024, Volume and Issue: 22(1)

Published: April 30, 2024

Abstract Upon a diagnosis, the clinical team faces two main questions: what treatment, and at dose? Clinical trials' results provide basis for guidance support official protocols that clinicians use to base their decisions. However, individuals do not consistently demonstrate reported response from relevant trials. The decision complexity increases with combination treatments where drugs administered together can interact each other, which is often case. Additionally, individual's treatment varies changes in condition. In practice, drug dose selection depend significantly on medical protocol team's experience. As such, are inherently varied suboptimal. Big data Artificial Intelligence (AI) approaches have emerged as excellent decision-making tools, but multiple challenges limit application. AI rapidly evolving dynamic field potential revolutionize various aspects of human life. has become increasingly crucial discovery development. enhances across different disciplines, such medicinal chemistry, molecular cell biology, pharmacology, pathology, practice. addition these, contributes patient population stratification. need healthcare evident it aids enhancing accuracy ensuring quality care necessary effective treatment. pivotal improving success rates increasing significance discovery, development, trials underscored by many scientific publications. Despite numerous advantages AI, advancing Precision Medicine (PM) remote monitoring, unlocking its full requires addressing fundamental concerns. These concerns include quality, lack well-annotated large datasets, privacy safety issues, biases algorithms, legal ethical challenges, obstacles related cost implementation. Nevertheless, integrating medicine will improve diagnostic outcomes, contribute more efficient delivery, reduce costs, facilitate better experiences, making sustainable. This article reviews applications development sustainable, highlights limitations applying AI.

Language: Английский

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Artificial Intelligence In Financial Services: Advancements In Fraud Detection, Risk Management, And Algorithmic Trading Optimization

Published: Jan. 1, 2025

Fraud detection, risk management, and algorithmic trading optimization are being revolutionized by AI in financial services. reduces false positives speeds up fraud detection spotting trends anomalies real time using advanced machine learning techniques. Financial institutions can now fight sophisticated cyber attacks with AI-powered systems that analyze massive databases detect illicit conduct unparalleled accuracy. predictive analytics changing how organizations identify mitigate risks. Institutions predict credit defaults, market swings, operational weaknesses big data AI. Natural language processing (NLP) techniques extracting insights from unstructured sources including regulatory filings news to improve decision-making. Real-time monitoring enable proactive interventions reduce losses assure compliance. is transforming trading, another breakthrough. Advanced models historical live price movements, find arbitrage opportunities, execute trades milliseconds. Reinforcement helping design adaptable algorithms respond changes, increasing profitability reducing risk. also promotes ethical transparent tactics, solving manipulation problems. This study analyses the newest applications services their disruptive influence. Generative AI, federated learning, quantum computing will further transform sector. adoption has many benefits, but privacy, bias, legal complexity must be addressed sustain progress. efficiency, resilience, creativity, creating a future where technology drives trust strategic advantage.

Language: Английский

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Artificial Intelligence In Retail And E-Commerce: Enhancing Customer Experience Through Personalization, Predictive Analytics, And Real-Time Engagement

Published: Jan. 1, 2025

AI is transforming retail and e-commerce with unprecedented personalization, predictive analytics, real-time customer involvement. AI-powered recommendation engines, chatbots, sentiment analysis tools enable customer-centric tactics as consumers want more personalized experiences. AI's capacity to analyze massive volumes of data allows merchants develop shopping experiences that boost pleasure loyalty. For instance, deep learning-based systems accurately predict client preferences, increasing conversion rates average order values. analytics changing inventory management, demand forecasting, pricing in retail. Stock levels, waste, profitability are optimized by machine learning algorithms examine historical sales data, market trends, behavior. Real-time insights dynamic models adjust instantaneously supply changes, maintaining competitiveness fast-paced e-commerce. AI-enabled engagement business-customer interactions. Conversational can answer questions instantly personally smart chatbots voice assistants, improving user experience lowering operational expenses. Visual technologies like image identification augmented reality virtual try-ons visual search, online purchasing. The use has highlighted ethical issues such privacy algorithmic fairness. Growing sustainably requires balancing consumer personalization trust. This paper examines how might improve experience, supported recent breakthroughs industry trends. It shows may purchasing while tackling implementation a digital economy.

Language: Английский

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Optimizing Cancer Treatment: Exploring the Role of AI in Radioimmunotherapy

Diagnostics, Journal Year: 2025, Volume and Issue: 15(3), P. 397 - 397

Published: Feb. 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.

Language: Английский

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Artificial Intelligence-Driven Customer Service: Enhancing Personalization, Loyalty, And Customer Satisfaction

Published: Jan. 1, 2025

AI-driven customer service is revolutionizing how businesses interact with customers by improving personalization, loyalty, and satisfaction through data-driven insights responsive interactions. AI technologies like machine learning (ML), natural language processing (NLP), generative models allow companies to scale experiences that match individual preferences, behaviors, needs. tools in service, such as chatbots virtual assistants, are response times issue resolution, increasing loyalty. Companies can analyze massive datasets real time using improve profiles predict future systems boost brand loyalty personalizing interactions making feel valued. Additionally, ChatGPT engagement reducing friction providing human-like responses conversational experiences. sentiment analysis help anticipate dissatisfaction assessing emotions feedback. Along AI-based solutions programs them more dynamic engaging. Businesses identify high-value customers, personalize offers, encourage repeat business predictive analytics. Despite these advances, ethical issues data privacy interaction must be addressed. As evolves, balancing automation personalized human crucial. This paper examines current trends, case studies, developments demonstrate transform environments into customer-centric, responsive, adaptable ones foster long-term satisfaction.

Language: Английский

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

Diseases, Journal Year: 2025, Volume and Issue: 13(1), P. 24 - 24

Published: Jan. 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.

Language: Английский

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Artificial Intelligence in Drug Discovery and Development

Springer eBooks, Journal Year: 2023, Volume and Issue: unknown, P. 1 - 38

Published: Jan. 1, 2023

Language: Английский

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