Artificial intelligence and machine learning in precision medicine: A paradigm shift in big data analysis

Progress in molecular biology and translational science, Journal Year: 2022, Volume and Issue: unknown, P. 57 - 100

Published: Jan. 1, 2022

Language: Английский

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Deep learning methods for drug response prediction in cancer: Predominant and emerging trends

Frontiers in Medicine, Journal Year: 2023, Volume and Issue: 10

Published: Feb. 15, 2023

Cancer claims millions of lives yearly worldwide. While many therapies have been made available in recent years, by large cancer remains unsolved. Exploiting computational predictive models to study and treat holds great promise improving drug development personalized design treatment plans, ultimately suppressing tumors, alleviating suffering, prolonging patients. A wave papers demonstrates promising results predicting response treatments while utilizing deep learning methods. These investigate diverse data representations, neural network architectures, methodologies, evaluations schemes. However, deciphering predominant emerging trends is difficult due the variety explored methods lack standardized framework for comparing prediction models. To obtain a comprehensive landscape methods, we conducted an extensive search analysis that predict single treatments. total 61 learning-based curated, summary plots were generated. Based on analysis, observable patterns prevalence revealed. This review allows better understand current state field identify major challenges solution paths.

Language: Английский

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Recent Advancements, Limitations, and Future Perspectives of the use of Personalized Medicine in Treatment of Colon Cancer

Technology in Cancer Research & Treatment, Journal Year: 2023, Volume and Issue: 22

Published: Jan. 1, 2023

Due to the heterogeneity of colon cancer, surgery, chemotherapy, and radiation are ineffective in all cases. The genomic profile biomarkers associated with process considered personalized medicine, along patient's personal history. It is based on response targeted therapies specific genetic variations. transcriptomic epigenetic features evaluated, best therapeutic approach diagnostic testing identified through medicine. This review aims summarize necessary, updated information cancer related Personalized medicine gaining prominence as generalized treatments finding it challenging contain cases which currently rank fourth among global incidence while being fifth largest total death worldwide. In therapy, patients grouped into categories, chosen evaluating their molecular features. Various strategies explored treatment involving immunotherapy, phytochemicals, other biomarker-specific therapies. However, significant challenges must be overcome integrate healthcare systems completely. We look at various signaling pathways alterations understand identify useful therapy. current available improve existing methods discussed. highlights advantages limitations scenario developed countries faced middle- low-income also summarized. Finally, we discuss future perspectives how could integrated systems.

Language: Английский

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Artificial intelligence and multimodal data fusion for smart healthcare: topic modeling and bibliometrics

Artificial Intelligence Review, Journal Year: 2024, Volume and Issue: 57(4)

Published: March 15, 2024

Abstract Advancements in artificial intelligence (AI) have driven extensive research into developing diverse multimodal data analysis approaches for smart healthcare. There is a scarcity of large-scale literature this field based on quantitative approaches. This study performed bibliometric and topic modeling examination 683 articles from 2002 to 2022, focusing topics trends, journals, countries/regions, institutions, authors, scientific collaborations. Results showed that, firstly, the number has grown 1 220 with majority being published interdisciplinary journals that link healthcare medical information technology AI. Secondly, significant rise quantity can be attributed increasing contribution scholars non-English speaking countries/regions noteworthy contributions made by authors USA India. Thirdly, researchers show high interest issues, especially, cross-modality magnetic resonance imaging (MRI) brain tumor analysis, cancer prognosis through multi-dimensional AI-assisted diagnostics personalization healthcare, each experiencing increase interest. an emerging trend towards issues such as applying generative adversarial networks contrastive learning image fusion synthesis utilizing combined spatiotemporal resolution functional MRI electroencephalogram data-centric manner. valuable enhancing researchers’ practitioners’ understanding present focal points upcoming trajectories AI-powered analysis.

Language: Английский

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FormulationAI: a novel web-based platform for drug formulation design driven by artificial intelligence

Briefings in Bioinformatics, Journal Year: 2023, Volume and Issue: 25(1)

Published: Nov. 22, 2023

Abstract Today, pharmaceutical industry faces great pressure to employ more efficient and systematic ways in drug discovery development process. However, conventional formulation studies still strongly rely on personal experiences by trial-and-error experiments, resulting a labor-consuming, tedious costly pipeline. Thus, it is highly required develop intelligent methods for keep pace with the progress of industry. Here, we developed comprehensive web-based platform (FormulationAI) silico design. First, most datasets six widely used systems were collected over 10 years, including cyclodextrin formulation, solid dispersion, phospholipid complex, nanocrystals, self-emulsifying liposome systems. Then, prediction evaluation 16 important properties from investigated implemented study comparison different AI algorithms molecular representations. Finally, an was established validated, which enables design just inputting basic information drugs excipients. FormulationAI first freely available platform, provides powerful solution assist It at https://formulationai.computpharm.org/.

Language: Английский

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Review of Personalized Medicine and Pharmacogenomics of Anti-Cancer Compounds and Natural Products

Genes, Journal Year: 2024, Volume and Issue: 15(4), P. 468 - 468

Published: April 8, 2024

In recent years, the FDA has approved numerous anti-cancer drugs that are mutation-based for clinical use. These have improved precision of treatment and reduced adverse effects side effects. Personalized therapy is a prominent hot topic current medicine also represents future direction development. With continuous advancements in gene sequencing high-throughput screening, research development strategies personalized developed rapidly. This review elaborates strategies, which include artificial intelligence, multi-omics analysis, chemical proteomics, computation-aided drug design. technologies rely on molecular classification diseases, global signaling network within organisms, new models all targets, significantly support medicine. Meanwhile, we summarize drugs, such as lorlatinib, osimertinib, other natural products, deliver therapeutic based genetic mutations. highlights potential challenges interpreting mutations combining while providing ideas pharmacogenomics cancer study.

Language: Английский

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An Analytical Review on the Impact of Artificial Intelligence on the Business Industry: Applications, Trends, and Challenges

IEEE Engineering Management Review, Journal Year: 2024, Volume and Issue: 52(2), P. 84 - 102

Published: Feb. 29, 2024

The integration of artificial intelligence (AI) in business processes has revolutionized many industries by automating tasks, improving decision-making processes, and enhancing customer experiences. This review article examines the impact AI areas, including its applications, challenges, limitations, current trends, future work. begins with defining importance business, followed an overview applications various sectors, such as service, marketing, finance, healthcare, manufacturing, logistics, human resources. advantages benefits implementation are explored, along examples successful changes processes. challenges limitations technology, ethical concerns, data privacy security issues, technical expertise knowledge, high costs, explained. Current trends integration, other technologies, growing demand for skills, development more advanced sophisticated algorithms, presented. concludes recommendations predictions areas proposes strategies while reflecting on social considerations. Our analysis this points to open research improves understanding field.

Language: Английский

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Definitions of digital biomarkers: a systematic mapping of the biomedical literature

BMJ Health & Care Informatics, Journal Year: 2024, Volume and Issue: 31(1), P. e100914 - e100914

Published: April 1, 2024

Background Technological devices such as smartphones, wearables and virtual assistants enable health data collection, serving digital alternatives to conventional biomarkers. We aimed provide a systematic overview of emerging literature on ‘digital biomarkers,’ covering definitions, features citations in biomedical research. Methods analysed all articles PubMed that used biomarker(s)’ title or abstract, considering any study involving humans review, editorial, perspective opinion-based up 8 March 2023. systematically extracted characteristics publications research studies, definitions biomarkers’ mentioned. described the most influential biomarkers their using thematic categorisations Food Drug Administration Biomarkers, EndpointS other Tools framework (ie, type, collection method, purpose biomarker), analysing structural similarity by performing text citation analyses. Results identified 415 biomarker’ between 2014 2023 (median 2021). The majority (283 articles; 68%) were primary Notably, 287 (69%) did not definition Among 128 with there 127 different ones. Of these, 78 considered 56 50 23 included three components. Those had median 6 citations, top 10 each presenting distinct definitions. Conclusions vary significantly, indicating lack consensus this field. Our highlights key defining characteristics, which could guide development more harmonised accepted definition.

Language: Английский

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The Advent of Molecular Targeted Therapies Against Cancer. Toward Multi‐Targeting Drugs Through Materials Engineering: A Possible Future Scenario

Small Science, Journal Year: 2024, Volume and Issue: 4(8)

Published: May 28, 2024

The authors, actively engaged in the development of mesoporous silica‐based solutions, initially for modified drug release, later smart administration conventional chemotherapeutic cytotoxic drugs, present evolution concept targeted therapy across different disciplines. They also discuss diverse therapeutic needs and related challenges (adverse effects) that have unfolded over last 30 years. Nanomedicine potentialities, mainly against cancers, emerged globally during intense research activity few decades, are critically discussed. authors glimpse growing potential immune‐based including those assisted by nanotechnology, as well molecular therapies (MTT) on which they focus. advantages offered therapies, despite limits monotargeted suggest engineering multi‐targeted therapies. solutions such ligand‐specific internalization pH‐sensitive release extensively tested recently presented open literature, still remain available instruments. According to MTT can offer shining perspectives near future will depend a thorough comprehension nanostructures synthesis tumor physiology. This article gives an interdisciplinary point view tailored non‐specialist readers imagining possible scenarios field.

Language: Английский

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From Serendipity to Precision: Integrating AI, Multi-Omics, and Human-Specific Models for Personalized Neuropsychiatric Care

Biomedicines, Journal Year: 2025, Volume and Issue: 13(1), P. 167 - 167

Published: Jan. 12, 2025

Background/Objectives: The dual forces of structured inquiry and serendipitous discovery have long shaped neuropsychiatric research, with groundbreaking treatments such as lithium ketamine resulting from unexpected discoveries. However, relying on chance is becoming increasingly insufficient to address the rising prevalence mental health disorders like depression schizophrenia, which necessitate precise, innovative approaches. Emerging technologies artificial intelligence, induced pluripotent stem cells, multi-omics potential transform this field by allowing for predictive, patient-specific interventions. Despite these advancements, traditional methodologies animal models single-variable analyses continue be used, frequently failing capture complexities human conditions. Summary: This review critically evaluates transition serendipity precision-based in research. It focuses key innovations dynamic systems modeling network-based approaches that use genetic, molecular, environmental data identify new therapeutic targets. Furthermore, it emphasizes importance interdisciplinary collaboration human-specific overcoming limitations Conclusions: We highlight precision psychiatry’s transformative revolutionizing care. paradigm shift, combines cutting-edge systematic frameworks, promises increased diagnostic accuracy, reproducibility, efficiency, paving way tailored better patient outcomes

Language: Английский

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