Research graph
References from Artificial intelligence emergence in nanomedicine, pharmacogenomics and biotechnology. Local targets link to admitted publications; unresolved targets remain external evidence.
Artificial intelligence, healthcare, clinical genomics, and pharmacogenomics approaches in precision medicine
10.3389/fgene.2022.929736 · 2022 · External reference
Machine learning approaches to drug response prediction: challenges and recent progress
10.1038/s41698-020-0122-1 · 2020 · External reference
Controlled drug delivery systems: current status and future directions
10.3390/molecules26195905 · 2021 · External reference
Integrating artificial intelligence and nanotechnology for precision cancer medicine
2020 · External reference
Addressing Cyberbiosecurity Challenges in the Modern Era of Biotechnology and Artificial Intelligence
10.31646/gbio.282 · 2025 · External reference
Revolutionizing healthcare: The role of artificial intelligence in clinical practice
10.1186/s12909-023-04698-z · 2023 · External reference
Machine learning in protein structure prediction
10.1016/j.cbpa.2021.04.005 · 2021 · External reference
The role of biotechnology in healthcare: a review of global trends
10.30574/wjarr.2024.21.1.0382 · 2024 · External reference
Artificial intelligence in personalized medicine application of AI algorithms in solving personalized medicine problems
10.7763/ijcte.2015.v7.999 · 2015 · External reference
Artificial intelligence in healthcare: transforming the practice of medicine
10.7861/fhj.2021-0095 · 2021 · External reference
Artificial intelligence in biological sciences
10.3390/life12091430 · 2022 · External reference
AI-powered nanorobots: a mini review on innovations in healthcare
2024 · External reference
Silver Nanoparticles: Technological Advances, Societal Impacts, and Metrological Challenges
10.3389/fchem.2017.00006 · 2017 · External reference
From Genomics to AI: Revolutionizing Precision Medicine in Oncology
10.3390/app15126578 · 2025 · External reference
AI applications in functional genomics
10.1016/j.csbj.2021.10.009 · 2021 · External reference
Implementing machine learning in health care—addressing ethical challenges
10.1056/nejmp1714229 · 2018 · External reference
Development of fucoidan/polyethyleneimine based sorafenib-loaded self-assembled nanoparticles with machine learning and DoE-ANN implementation: optimization, characterization, and in-vitro assessment for the anticancer drug delivery
10.1016/j.ijbiomac.2024.135123 · 2024 · External reference
How generative AI supports human in conceptual design
2025 · External reference
Machine learning methods for protein structure prediction
10.1109/rbme.2008.2008239 · 2008 · External reference
Advances in nanomaterial-based targeted drug delivery systems
10.3389/fbioe.2023.1177151 · 2023 · External reference
Proteomics technologies and challenges
10.1016/s1672-0229(07)60018-7 · 2007 · External reference
Unresolved reference
External reference
Drug repurposing against breast cancer by integrating drug-exposure expression profiles and drug–drug links based on graph neural network
10.1093/bioinformatics/btab191 · 2021 · External reference
Multifaceted applications of micro/nanorobots in pharmaceutical drug delivery systems: a comprehensive review
10.1186/s43094-023-00577-y · 2024 · External reference
Integrating artificial intelligence with quality by design in the formulation of Lecithin/Chitosan nanoparticles of a poorly water-soluble drug
10.1208/s12249-023-02609-5 · 2023 · External reference
Micromotor-enabled active drug delivery for in vivo treatment of stomach infection
10.1038/s41467-017-00309-w · 2017 · External reference
Feature subset selection for splice site prediction
10.1093/bioinformatics/18.suppl_2.s75 · 2002 · External reference
Progressing microbial genomics: Artificial intelligence and deep learning driven advances in genome analysis and therapeutics
10.1016/j.ibmed.2025.100251 · 2025 · External reference
Artificial intelligence in clinical and genomic diagnostics
10.1186/s13073-019-0689-8 · 2019 · External reference
The transport of non-surfactant based paclitaxel loaded magnetic nanoparticles across the blood brain barrier in a rat model
10.1016/j.biomaterials.2011.12.046 · 2012 · External reference
10.1002/9780470593417
10.1002/9780470593417 · External reference
Doxorubicin loaded magnetic gold nanoparticles for in vivo targeted drug delivery
10.1016/j.ijpharm.2015.05.032 · 2015 · External reference
Optimization of pullulan production by Aureobasidium pullulansusing semi-solid-state fermentation and artificial neural networks: characterization and antibacterial activity of pullulan impregnated with Ag–TiO2nanocomposite
10.1016/j.ijbiomac.2024.132109 · 2024 · External reference
Artificial intelligence to predict cancer risk, are we there yet? A comprehensive review across cancer types
10.1016/j.ejca.2025.115440 · 2025 · External reference
A probabilistic view of gene function
10.1038/ng1370 · 2004 · External reference
The future of drug delivery
10.1021/acs.chemmater.2c03003 · 2023 · External reference
Artificial micromotors in the mouse’s stomach: a step toward in vivo use of synthetic motors
10.1021/nn507097k · 2015 · External reference
Long walk to genomics: history and current approaches to genome sequencing and assembly
10.1016/j.csbj.2019.11.002 · 2020 · External reference
Proteomics and Its Current Application in Biomedical Area: Concise Review
10.1155/2024/4454744 · 2024 · External reference
A Review of Bias and Fairness in Artificial Intelligence
10.9781/ijimai.2023.11.001 · 2024 · External reference
An artificial intelligence-based chatbot for prostate cancer education: Design and patient evaluation study
10.1177/20552076231173304 · 2023 · External reference
Rise of deep learning for genomic, proteomic, and metabolomic data integration in precision medicine
10.1089/omi.2018.0097 · 2018 · External reference
Methotrexate-loaded multifunctional nanoparticles with near-infrared irradiation for the treatment of rheumatoid arthritis
10.1186/s13075-020-02230-y · 2020 · External reference
Artificial intelligence revolution in pharmaceutical sciences: advancements, clinical impacts, and applications
2025 · External reference
Machine learning and artificial intelligence: definitions, applications, and future directions
10.1007/s12178-020-09600-8 · 2020 · External reference
Nanoparticles of natural product-derived medicines: beyond the pandemic
10.1016/j.heliyon.2025.e42739 · 2025 · External reference
Why imaging data alone is not enough: AI-based integration of imaging, omics, and clinical data
10.1007/s00259-019-04382-9 · 2019 · External reference
Ensembl 2021
10.1093/nar/gkaa942 · 2021 · External reference
Micro/Nanorobot: a promising targeted drug delivery system
10.3390/pharmaceutics12070665 · 2020 · External reference
RepurposeDrugs: an interactive web-portal and predictive platform for repurposing mono- and combination therapies
10.1093/bib/bbae328 · 2024 · External reference
Targeted therapeutic nanoparticles: an immense promise to fight against cancer
10.1155/2017/9090325 · 2017 · External reference
Artificial intelligence and machine learning implemented drug delivery systems: a paradigm shift in the pharmaceutical industry
2024 · External reference
Emerging artificial intelligence (AI) technologies used in the development of solid dosage forms
10.3390/pharmaceutics14112257 · 2022 · External reference
Precision medicine, AI, and the future of personalized health care
10.1111/cts.12884 · 2021 · External reference
Deep learning in pharmacogenomics: from gene regulation to patient stratification
10.2217/pgs-2018-0008 · 2018 · External reference
High-throughput screening and triage assays identify small molecules targeting c-MYC in cancer cells
10.1177/2472555220985457 · 2021 · External reference
AI-driven design and optimization of nanoparticle-based drug delivery systems
10.69598/sehs.18.24010003 · 2024 · External reference
Differentiating parameters for selecting simple object access protocol (SOAP) vs. representational state transfer (REST) based architecture
10.7763/jacn.2015.v3.143 · 2015 · External reference
Pharmacogenomics driven decision support prototype with machine learning: a framework for improving patient care
10.3389/fdata.2022.1059088 · 2022 · External reference
Predicting drug response and synergy using a deep learning model of human cancer cells
10.1016/j.ccell.2020.09.014 · 2020 · External reference
Machine learning applications in genetics and genomics
10.1038/nrg3920 · 2015 · External reference
How data science and AI-based technologies impact genomics
10.4103/singaporemedj.smj-2021-438 · 2023 · External reference
Predicting nanoparticle delivery to tumors using machine learning and artificial intelligence approaches
10.2147/ijn.s344208 · 2022 · External reference
Application of deep learning in genomics
10.1007/s11427-020-1804-5 · 2020 · External reference
GraphCDR: a graph neural network method with contrastive learning for cancer drug response prediction
10.1093/bib/bbab457 · 2022 · External reference
Impact of high-throughput screening in biomedical research
10.1038/nrd3368 · 2011 · External reference
Rational drug design
10.1016/j.ejphar.2009.06.065 · 2009 · External reference
Personalized medicine could transform healthcare
10.3892/br.2017.922 · 2017 · External reference
Solid lipid nanoparticles: a promising tool for insulin delivery
10.1080/17425247.2022.2138328 · 2022 · External reference
RNA-seq and ChIP-seq as complementary approaches for comprehension of plant transcriptional regulatory mechanism
10.3390/ijms21010167 · 2019 · External reference
The Path to Routine Genomic Screening in Health Care
10.7326/m18-1722 · 2018 · External reference
Drug delivery to the central nervous system
10.1038/s41578-021-00394-w · 2021 · External reference
Using genetics and genomics strategies to personalize therapy for cancer: Focus on melanoma
10.1016/j.bcp.2010.04.017 · 2010 · External reference
The development and opportunities of predictive biotechnology
2024 · External reference
Pharmacogenetic interventions to improve outcomes in patients with multimorbidity or prescribed polypharmacy: a systematic review
10.1038/s41397-021-00260-6 · 2022 · External reference
Predicting drug release from diazepam FDM printed tablets using deep learning approach: influence of process parameters and tablet surface/volume ratio
10.1016/j.ijpharm.2021.120507 · 2021 · External reference
10.1186/gb-2002-3-12-research0087
10.1186/gb-2002-3-12-research0087 · External reference
Biotechnology, big data and artificial intelligence
10.1002/biot.201800613 · 2019 · External reference
Integration of artificial intelligence in nanomedicine
2024 · External reference
Artificial intelligence integration in the drug lifecycle and in regulatory science: policy implications, challenges and opportunities
10.3389/fphar.2024.1437167 · 2024 · External reference
Artificial intelligence (AI) in personalized medicine: AI-generated personalized therapy regimens based on genetic and medical history: short communication
10.1097/ms9.0000000000001320 · 2023 · External reference
A performance evaluation of drug response prediction models for individual drugs
2023 · External reference
Unresolved reference
2009 · External reference
Clinically Relevant Genetic Variations in Drug Metabolizing Enzymes
10.2174/138920011795495321 · 2011 · External reference
AI-powered therapeutic target discovery
10.1016/j.tips.2023.06.010 · 2023 · External reference
Machine learning model for prediction of development of cancer stem cell subpopulation in tumurs subjected to polystyrene nanoparticles
10.3390/toxics12050354 · 2024 · External reference
A small-molecule TNIK inhibitor targets fibrosis in preclinical and clinical models
10.1038/s41587-024-02143-0 · 2025 · External reference
AlphaFold accelerates artificial intelligence powered drug discovery: efficient discovery of a novel CDK20 small molecule inhibitor
10.1039/d2sc05709c · 2023 · External reference
Artificial intelligence and personalized medicine
10.1007/978-3-030-16391-4_11 · 2019 · External reference
The Emergence of AI-Based Wearable Sensors for Digital Health Technology: A Review
10.3390/s23239498 · 2023 · External reference
Evolutionary computational platform for the automatic discovery of nanocarriers for cancer treatment
10.1038/s41524-021-00614-5 · 2021 · External reference
What are biomarkers?
10.1097/coh.0b013e32833ed177 · 2010 · External reference
SRDFM: Siamese Response Deep Factorization Machine to improve anti-cancer drug recommendation
10.1093/bib/bbab534 · 2022 · External reference
Nanodiagnostics in microbiology and dentistry
2018 · External reference
The artificial intelligence and design of experiment assisted in the development of progesterone-loaded solid-lipid nanoparticles for transdermal drug delivery
10.3897/pharmacia.71.e123549 · 2024 · External reference
AI’s role in revolutionizing personalized medicine by reshaping pharmacogenomics and drug therapy
2024 · External reference
Role-based policy to maintain privacy of patient health records in cloud
10.1007/s11227-019-02887-6 · 2019 · External reference
The impact of AlphaFold protein structure database on the fields of life sciences
10.1002/pmic.202200128 · 2023 · External reference
The evolution of commercial drug delivery technologies
10.1038/s41551-021-00698-w · 2021 · External reference
Artificial intelligence in pharmaceutical technology and drug delivery design
10.3390/pharmaceutics15071916 · 2023 · External reference
Advances of artificial intelligence in anti-cancer drug design: a review of the past decade
10.3390/ph16020253 · 2023 · External reference
Artificial intelligence, physiological genomics, and precision medicine
10.1152/physiolgenomics.00119.2017 · 2018 · External reference
Artificial intelligence-assisted multiparameter size discrimination of silver nanoparticles through electrochemical collision
10.1021/acs.analchem.3c05115 · 2024 · External reference
Artificial intelligence: a powerful paradigm for scientific research
2021 · External reference
Artificial intelligence-assisted development of in situ forming nanoparticles for arthritis therapy via intra-articular delivery
10.1080/10717544.2022.2069882 · 2022 · External reference
Artificial intelligence in cancer target identification and drug discovery
10.1038/s41392-022-00994-0 · 2022 · External reference
Applications of artificial intelligence to lipid nanoparticle delivery
10.1016/j.partic.2023.11.014 · 2024 · External reference
An Integrated Deep Learning and Molecular Dynamics Simulation-Based Screening Pipeline Identifies Inhibitors of a New Cancer Drug Target TIPE2DataSheet1.docx
2021 · External reference
Artificial intelligence in drug design
10.1007/s11427-018-9342-2 · 2018 · External reference
Magnetically Driven Micro and Nanorobots
10.1021/acs.chemrev.0c01234 · 2021 · External reference
10.1002/9780470593417
10.1002/9780470593417 · ExternalCitation · doi-reference
Biotechnology, big data and artificial intelligence
10.1002/biot.201800613 · ExternalCitation · doi-reference
The impact of AlphaFold protein structure database on the fields of life sciences
10.1002/pmic.202200128 · ExternalCitation · doi-reference
Artificial intelligence and personalized medicine
10.1007/978-3-030-16391-4_11 · ExternalCitation · doi-reference
Why imaging data alone is not enough: AI-based integration of imaging, omics, and clinical data
10.1007/s00259-019-04382-9 · ExternalCitation · doi-reference
Role-based policy to maintain privacy of patient health records in cloud
10.1007/s11227-019-02887-6 · ExternalCitation · doi-reference
Artificial intelligence in drug design
10.1007/s11427-018-9342-2 · ExternalCitation · doi-reference
Application of deep learning in genomics
10.1007/s11427-020-1804-5 · ExternalCitation · doi-reference
Machine learning and artificial intelligence: definitions, applications, and future directions
10.1007/s12178-020-09600-8 · ExternalCitation · doi-reference
Using genetics and genomics strategies to personalize therapy for cancer: Focus on melanoma
10.1016/j.bcp.2010.04.017 · ExternalCitation · doi-reference
The transport of non-surfactant based paclitaxel loaded magnetic nanoparticles across the blood brain barrier in a rat model
10.1016/j.biomaterials.2011.12.046 · ExternalCitation · doi-reference
Machine learning in protein structure prediction
10.1016/j.cbpa.2021.04.005 · ExternalCitation · doi-reference
Predicting drug response and synergy using a deep learning model of human cancer cells
10.1016/j.ccell.2020.09.014 · ExternalCitation · doi-reference
Long walk to genomics: history and current approaches to genome sequencing and assembly
10.1016/j.csbj.2019.11.002 · ExternalCitation · doi-reference
AI applications in functional genomics
10.1016/j.csbj.2021.10.009 · ExternalCitation · doi-reference
Artificial intelligence to predict cancer risk, are we there yet? A comprehensive review across cancer types
10.1016/j.ejca.2025.115440 · ExternalCitation · doi-reference
Rational drug design
10.1016/j.ejphar.2009.06.065 · ExternalCitation · doi-reference
Nanoparticles of natural product-derived medicines: beyond the pandemic
10.1016/j.heliyon.2025.e42739 · ExternalCitation · doi-reference
Progressing microbial genomics: Artificial intelligence and deep learning driven advances in genome analysis and therapeutics
10.1016/j.ibmed.2025.100251 · ExternalCitation · doi-reference
Optimization of pullulan production by Aureobasidium pullulansusing semi-solid-state fermentation and artificial neural networks: characterization and antibacterial activity of pullulan impregnated with Ag–TiO2nanocomposite
10.1016/j.ijbiomac.2024.132109 · ExternalCitation · doi-reference
Development of fucoidan/polyethyleneimine based sorafenib-loaded self-assembled nanoparticles with machine learning and DoE-ANN implementation: optimization, characterization, and in-vitro assessment for the anticancer drug delivery
10.1016/j.ijbiomac.2024.135123 · ExternalCitation · doi-reference
Doxorubicin loaded magnetic gold nanoparticles for in vivo targeted drug delivery
10.1016/j.ijpharm.2015.05.032 · ExternalCitation · doi-reference
Predicting drug release from diazepam FDM printed tablets using deep learning approach: influence of process parameters and tablet surface/volume ratio
10.1016/j.ijpharm.2021.120507 · ExternalCitation · doi-reference
Applications of artificial intelligence to lipid nanoparticle delivery
10.1016/j.partic.2023.11.014 · ExternalCitation · doi-reference
AI-powered therapeutic target discovery
10.1016/j.tips.2023.06.010 · ExternalCitation · doi-reference
Proteomics technologies and challenges
10.1016/s1672-0229(07)60018-7 · ExternalCitation · doi-reference
Artificial intelligence-assisted multiparameter size discrimination of silver nanoparticles through electrochemical collision
10.1021/acs.analchem.3c05115 · ExternalCitation · doi-reference
The future of drug delivery
10.1021/acs.chemmater.2c03003 · ExternalCitation · doi-reference
Magnetically Driven Micro and Nanorobots
10.1021/acs.chemrev.0c01234 · ExternalCitation · doi-reference
Artificial micromotors in the mouse’s stomach: a step toward in vivo use of synthetic motors
10.1021/nn507097k · ExternalCitation · doi-reference
A probabilistic view of gene function
10.1038/ng1370 · ExternalCitation · doi-reference
Impact of high-throughput screening in biomedical research
10.1038/nrd3368 · ExternalCitation · doi-reference
Machine learning applications in genetics and genomics
10.1038/nrg3920 · ExternalCitation · doi-reference
Artificial intelligence in cancer target identification and drug discovery
10.1038/s41392-022-00994-0 · ExternalCitation · doi-reference
Pharmacogenetic interventions to improve outcomes in patients with multimorbidity or prescribed polypharmacy: a systematic review
10.1038/s41397-021-00260-6 · ExternalCitation · doi-reference
Micromotor-enabled active drug delivery for in vivo treatment of stomach infection
10.1038/s41467-017-00309-w · ExternalCitation · doi-reference
Evolutionary computational platform for the automatic discovery of nanocarriers for cancer treatment
10.1038/s41524-021-00614-5 · ExternalCitation · doi-reference
The evolution of commercial drug delivery technologies
10.1038/s41551-021-00698-w · ExternalCitation · doi-reference
Drug delivery to the central nervous system
10.1038/s41578-021-00394-w · ExternalCitation · doi-reference
A small-molecule TNIK inhibitor targets fibrosis in preclinical and clinical models
10.1038/s41587-024-02143-0 · ExternalCitation · doi-reference
Machine learning approaches to drug response prediction: challenges and recent progress
10.1038/s41698-020-0122-1 · ExternalCitation · doi-reference
AlphaFold accelerates artificial intelligence powered drug discovery: efficient discovery of a novel CDK20 small molecule inhibitor
10.1039/d2sc05709c · ExternalCitation · doi-reference
Implementing machine learning in health care—addressing ethical challenges
10.1056/nejmp1714229 · ExternalCitation · doi-reference
Artificial intelligence-assisted development of in situ forming nanoparticles for arthritis therapy via intra-articular delivery
10.1080/10717544.2022.2069882 · ExternalCitation · doi-reference
Solid lipid nanoparticles: a promising tool for insulin delivery
10.1080/17425247.2022.2138328 · ExternalCitation · doi-reference
Rise of deep learning for genomic, proteomic, and metabolomic data integration in precision medicine
10.1089/omi.2018.0097 · ExternalCitation · doi-reference
GraphCDR: a graph neural network method with contrastive learning for cancer drug response prediction
10.1093/bib/bbab457 · ExternalCitation · doi-reference
SRDFM: Siamese Response Deep Factorization Machine to improve anti-cancer drug recommendation
10.1093/bib/bbab534 · ExternalCitation · doi-reference
RepurposeDrugs: an interactive web-portal and predictive platform for repurposing mono- and combination therapies
10.1093/bib/bbae328 · ExternalCitation · doi-reference
Feature subset selection for splice site prediction
10.1093/bioinformatics/18.suppl_2.s75 · ExternalCitation · doi-reference
Drug repurposing against breast cancer by integrating drug-exposure expression profiles and drug–drug links based on graph neural network
10.1093/bioinformatics/btab191 · ExternalCitation · doi-reference
Ensembl 2021
10.1093/nar/gkaa942 · ExternalCitation · doi-reference
What are biomarkers?
10.1097/coh.0b013e32833ed177 · ExternalCitation · doi-reference
Artificial intelligence (AI) in personalized medicine: AI-generated personalized therapy regimens based on genetic and medical history: short communication
10.1097/ms9.0000000000001320 · ExternalCitation · doi-reference
Machine learning methods for protein structure prediction
10.1109/rbme.2008.2008239 · ExternalCitation · doi-reference
Precision medicine, AI, and the future of personalized health care
10.1111/cts.12884 · ExternalCitation · doi-reference
Artificial intelligence, physiological genomics, and precision medicine
10.1152/physiolgenomics.00119.2017 · ExternalCitation · doi-reference
Targeted therapeutic nanoparticles: an immense promise to fight against cancer
10.1155/2017/9090325 · ExternalCitation · doi-reference
Proteomics and Its Current Application in Biomedical Area: Concise Review
10.1155/2024/4454744 · ExternalCitation · doi-reference
An artificial intelligence-based chatbot for prostate cancer education: Design and patient evaluation study
10.1177/20552076231173304 · ExternalCitation · doi-reference
High-throughput screening and triage assays identify small molecules targeting c-MYC in cancer cells
10.1177/2472555220985457 · ExternalCitation · doi-reference
10.1186/gb-2002-3-12-research0087
10.1186/gb-2002-3-12-research0087 · ExternalCitation · doi-reference
Revolutionizing healthcare: The role of artificial intelligence in clinical practice
10.1186/s12909-023-04698-z · ExternalCitation · doi-reference
Artificial intelligence in clinical and genomic diagnostics
10.1186/s13073-019-0689-8 · ExternalCitation · doi-reference
Methotrexate-loaded multifunctional nanoparticles with near-infrared irradiation for the treatment of rheumatoid arthritis
10.1186/s13075-020-02230-y · ExternalCitation · doi-reference
Multifaceted applications of micro/nanorobots in pharmaceutical drug delivery systems: a comprehensive review
10.1186/s43094-023-00577-y · ExternalCitation · doi-reference
Integrating artificial intelligence with quality by design in the formulation of Lecithin/Chitosan nanoparticles of a poorly water-soluble drug
10.1208/s12249-023-02609-5 · ExternalCitation · doi-reference
Predicting nanoparticle delivery to tumors using machine learning and artificial intelligence approaches
10.2147/ijn.s344208 · ExternalCitation · doi-reference
Clinically Relevant Genetic Variations in Drug Metabolizing Enzymes
10.2174/138920011795495321 · ExternalCitation · doi-reference
Deep learning in pharmacogenomics: from gene regulation to patient stratification
10.2217/pgs-2018-0008 · ExternalCitation · doi-reference
The role of biotechnology in healthcare: a review of global trends
10.30574/wjarr.2024.21.1.0382 · ExternalCitation · doi-reference
Addressing Cyberbiosecurity Challenges in the Modern Era of Biotechnology and Artificial Intelligence
10.31646/gbio.282 · ExternalCitation · doi-reference
Advances in nanomaterial-based targeted drug delivery systems
10.3389/fbioe.2023.1177151 · ExternalCitation · doi-reference
Silver Nanoparticles: Technological Advances, Societal Impacts, and Metrological Challenges
10.3389/fchem.2017.00006 · ExternalCitation · doi-reference
Pharmacogenomics driven decision support prototype with machine learning: a framework for improving patient care
10.3389/fdata.2022.1059088 · ExternalCitation · doi-reference
Artificial intelligence, healthcare, clinical genomics, and pharmacogenomics approaches in precision medicine
10.3389/fgene.2022.929736 · ExternalCitation · doi-reference
Artificial intelligence integration in the drug lifecycle and in regulatory science: policy implications, challenges and opportunities
10.3389/fphar.2024.1437167 · ExternalCitation · doi-reference
From Genomics to AI: Revolutionizing Precision Medicine in Oncology
10.3390/app15126578 · ExternalCitation · doi-reference
RNA-seq and ChIP-seq as complementary approaches for comprehension of plant transcriptional regulatory mechanism
10.3390/ijms21010167 · ExternalCitation · doi-reference
Artificial intelligence in biological sciences
10.3390/life12091430 · ExternalCitation · doi-reference
Controlled drug delivery systems: current status and future directions
10.3390/molecules26195905 · ExternalCitation · doi-reference
Advances of artificial intelligence in anti-cancer drug design: a review of the past decade
10.3390/ph16020253 · ExternalCitation · doi-reference
Micro/Nanorobot: a promising targeted drug delivery system
10.3390/pharmaceutics12070665 · ExternalCitation · doi-reference
Emerging artificial intelligence (AI) technologies used in the development of solid dosage forms
10.3390/pharmaceutics14112257 · ExternalCitation · doi-reference
Artificial intelligence in pharmaceutical technology and drug delivery design
10.3390/pharmaceutics15071916 · ExternalCitation · doi-reference
The Emergence of AI-Based Wearable Sensors for Digital Health Technology: A Review
10.3390/s23239498 · ExternalCitation · doi-reference
Machine learning model for prediction of development of cancer stem cell subpopulation in tumurs subjected to polystyrene nanoparticles
10.3390/toxics12050354 · ExternalCitation · doi-reference
Personalized medicine could transform healthcare
10.3892/br.2017.922 · ExternalCitation · doi-reference
The artificial intelligence and design of experiment assisted in the development of progesterone-loaded solid-lipid nanoparticles for transdermal drug delivery
10.3897/pharmacia.71.e123549 · ExternalCitation · doi-reference
How data science and AI-based technologies impact genomics
10.4103/singaporemedj.smj-2021-438 · ExternalCitation · doi-reference
AI-driven design and optimization of nanoparticle-based drug delivery systems
10.69598/sehs.18.24010003 · ExternalCitation · doi-reference
The Path to Routine Genomic Screening in Health Care
10.7326/m18-1722 · ExternalCitation · doi-reference
Artificial intelligence in personalized medicine application of AI algorithms in solving personalized medicine problems
10.7763/ijcte.2015.v7.999 · ExternalCitation · doi-reference
Differentiating parameters for selecting simple object access protocol (SOAP) vs. representational state transfer (REST) based architecture
10.7763/jacn.2015.v3.143 · ExternalCitation · doi-reference
Artificial intelligence in healthcare: transforming the practice of medicine
10.7861/fhj.2021-0095 · ExternalCitation · doi-reference
A Review of Bias and Fairness in Artificial Intelligence
10.9781/ijimai.2023.11.001 · ExternalCitation · doi-reference
