Evidence
![](https://psychiatryai.com/wp-content/uploads/2023/04/psychiatryai_com.webp)
![Google](https://www.google.com/images/branding/googlelogo/2x/googlelogo_light_color_92x30dp.png)
![Google Keep](https://www.gstatic.com/images/branding/product/1x/keep_48dp.png)
![Share on Linkedin](https://psychiatryai.com/wp-content/uploads/2023/10/linkedin-logo-png-2048-1.png)
Estimated reading time: 0 minute(s)
Latest: Psychiatryai.com #RAISR4D Evidence
![](/wp-content/uploads/2024/04/bd462cc11bcf0bd0d0d6f1d0f8b7cd04-modified-1.png)
Cool Evidence: Engaging Young People and Students in Real-World Evidence
![](/wp-content/uploads/2024/04/bd462cc11bcf0bd0d0d6f1d0f8b7cd04-modified-1.png)
Real-Time Evidence Search [Psychiatry]
![](/wp-content/uploads/2024/04/pubmed.png)
AI Research
![](/wp-content/uploads/2024/05/Il5nR_nf_400x400-modified-1.png)
Molecules, Vol. 27, Pages 5676: Development of GBRT Model as a Novel and Robust Mathematical Model to Predict and Optimize the Solubility of Decitabine as an Anti-cancer Drug
![](https://psychiatryai.com/wp-content/uploads/2023/04/psychiatryai_com.webp)
🌐 90 Days
AI Virtual Reality Related Evidence Matrix
Computer-driven formulation development of Ginsenoside Rh2 ternary solid dispersion New Horizons of Model Informed Drug Development in Rare Diseases Drug Development 3D bioprinting of an in vitro hepatoma microenvironment model: establishment, evaluation, and anticancer drug testing Advanced modeling of pharmaceutical solubility in solvents using artificial intelligence techniques: assessment of drug candidate for nanonization processing Evolutionary Multiobjective Molecule Optimization in an Implicit Chemical Space Evolutionary Multiobjective Molecule Optimization in an Implicit Chemical Space Preparation and Characterization of Nano-emulsion Formulations of Asparagus Densiflorus Root and Aerial Parts Extracts: Evaluation of in-vitro Antibacterial and Anticancer Activities of Nano-emulsion versus Pure Plant Extract Development and validation of a patient-level model to predict dementia across a network of observational databases Application of an Adapted Health Action Process Approach Model to Predict Engagement With a Digital Mental Health Website: Cross-Sectional Study Application of an Adapted Health Action Process Approach Model to Predict Engagement With a Digital Mental Health Website: Cross-Sectional Study Predicting blood-brain barrier permeability of molecules with a large language model and machine learning Gtie-Rt: A Comprehensive Graph Learning Model for Predicting Drugs Targeting Metabolic Pathways in Human Enriching Anticancer Drug Pipeline with Potential Inhibitors of Cyclin-Dependent Kinase-8 Identified from Natural Products Exposure-Response Modeling in Adults and Adolescents With Schizophrenia to Support the Extrapolation of Brexpiprazole Efficacy to Adolescents PromptSMILES: prompting for scaffold decoration and fragment linking in chemical language models Modulating a model membrane of sphingomyelin by a tricyclic antidepressant drug Smart laser Sintering: Deep Learning-Powered powder bed fusion 3D printing in precision medicine Accelerating Molecular Docking using Machine Learning Methods Dementia incidence varied by anticancer drugs and molecular targeted therapy in a population-based cohort study Artificial Neural Network and Response Surface Methodology for Predicting and Maximizing Biodiesel Production from Waste Oil with KI/CaO/Al2O3 Catalyst in a Fixed Bed Reactor Hybrid fragment-SMILES tokenization for ADMET prediction in drug discovery Artificial intelligence for high content imaging in drug discovery Analysis of fractal-fractional Alzheimer's disease mathematical model in sense of Caputo derivative Machine learning can reliably predict malignancy of breast lesions based on clinical and ultrasonographic features Musculoskeletal Health and Work: Development and Internal-External Cross-Validation of a Model to Predict Risk of Work Absence and Presenteeism in People Seeking Primary Healthcare Musculoskeletal Health and Work: Development and Internal-External Cross-Validation of a Model to Predict Risk of Work Absence and Presenteeism in People Seeking Primary Healthcare Development and validation of a model to predict ceiling of care in COVID-19 hospitalized patients Identification of Anticancer Peptides from the Genome of Candida albicans: in Silico Screening, in Vitro and in Vivo Validations Efficient Deep Model Ensemble Framework for Drug-Target Interaction Prediction Crosslinked-hybrid nanoparticle embedded in thermogel for sustained co-delivery to inner ear Crosslinked-hybrid nanoparticle embedded in thermogel for sustained co-delivery to inner ear Preparation and Evaluation of Clarithromycin Taste-Masking Dry Suspension Using Hot Melt Extrusion Based on Solid Dispersion Technology Introducing enzymatic cleavage features and transfer learning realizes accurate peptide half-life prediction across species and organs Substance Use Disorder and Violence Among People with Severe Mental Illness in the United States Substance Use Disorder and Violence Among People with Severe Mental Illness in the United States Persistent Interruption in Parvalbumin Positive Inhibitory Interneurons: Biophysical and Mathematical Mechanisms Crystal Composition Transformer: Self-Learning Neural Language Model for Generative and Tinkering Design of Materials Development and external validation of a machine learning model for the prediction of persistent acute kidney injury stage 3 in multi-centric, multi-national intensive care cohorts Phenotypic drug discovery promotes research and development of innovative drugs based on traditional Chinese medicine Discovering novel Cathepsin L inhibitors from natural products using artificial intelligence Development of a new prognostic model to predict pneumonia outcome using artificial intelligence-based chest radiograph results Risperidone-cyclodextrin complex reservoir combined with hydrogel-forming microneedle array patches for enhanced transdermal delivery Risperidone-cyclodextrin complex reservoir combined with hydrogel-forming microneedle array patches for enhanced transdermal delivery Joint use of population pharmacokinetics and machine learning for prediction of valproic acid plasma concentration in elderly epileptic patients Brusatol induces ferroptosis to inhibit hepatocellular carcinoma progression by targeting ATF3 Protocol for delivering proteins, peptides, and shRNAs via the intrathecal route in the experimental allergic encephalomyelitis mouse model Development and application of a risk nomogram for the prediction of risk of carbapenem-resistant Acinetobacter baumannii infections in neuro-intensive care unit: a mixed method study Machine learning-based model to predict delirium in patients with advanced cancer treated with palliative care: a multicenter, patient-based registry cohort MIFAM-DTI: a drug-target interactions predicting model based on multi-source information fusion and attention mechanism Promoter Prediction in Agrobacterium tumefaciens Strain C58 by Using Artificial Intelligence Strategies TRIP13 - a potential drug target in cancer pharmacotherapy Revolutionizing Playing with Skeleton Atoms: Molecular Editing Surgery in Medicinal Chemistry Complex artificial intelligence models for energy sustainability in educational buildings Dynamic microphysiological system chip platform for high-throughput, customizable, and multi-dimensional drug screening Dynamic microphysiological system chip platform for high-throughput, customizable, and multi-dimensional drug screening Development and initial evaluation of a clinical prediction model for risk of treatment resistance in first-episode psychosis: Schizophrenia Prediction of Resistance to Treatment (SPIRIT) AI-based differential diagnosis of dementia etiologies on multimodal data Bioprinted Multi-Composition Array Mimicking Tumor Microenvironments to Evaluate Drug Efficacy with Multivariable Analysis Cross-Sectional and Longitudinal Association of Clinical and Neurocognitive Factors With Apathy in Patients With Parkinson Disease Machine-learning-based Structural Analysis of Interactions between Antibodies and Antigens Beyond black-box models: explainable AI for embryo ploidy prediction and patient-centric consultation Site-specific thrombus formation: advancements in photothrombosis-on-a-chip technology Development and external validation of a logistic and a penalized logistic model using machine-learning techniques to predict suicide attempts: A multicenter prospective cohort study in Korea Promising algorithms to perilous applications: a systematic review of risk stratification tools for predicting healthcare utilisation
Evidence Blueprint
Molecules, Vol. 27, Pages 5676: Development of GBRT Model as a Novel and Robust Mathematical Model to Predict and Optimize the Solubility of Decitabine as an Anti-cancer Drug
![](https://psychiatryai.com/wp-content/uploads/2023/04/psychiatryai_com.webp)
☊ AI-Driven Related Evidence Nodes
(recent articles with at least 5 words in title)
More Evidence
![](https://psychiatryai.com/wp-content/uploads/2023/04/psychiatryai_com.webp)
Molecules, Vol. 27, Pages 5676: Development of GBRT Model as a Novel and Robust Mathematical Model to Predict and Optimize the Solubility of Decitabine as an Anti-cancer Drug
🌐 365 Days
AI Virtual Reality Related Evidence Matrix
Computer-driven formulation development of Ginsenoside Rh2 ternary solid dispersion New Horizons of Model Informed Drug Development in Rare Diseases Drug Development A unified framework for prediction of liver steatosis dynamics in response to different diet and drug interventions 3D bioprinting of an in vitro hepatoma microenvironment model: establishment, evaluation, and anticancer drug testing Preparation and Characterisation of Zinc Diethyldithiocarbamate-Cyclodextrin Inclusion Complexes for Potential Lung Cancer Treatment MS-BACL: enhancing metabolic stability prediction through bond graph augmentation and contrastive learning Advanced modeling of pharmaceutical solubility in solvents using artificial intelligence techniques: assessment of drug candidate for nanonization processing Kinome-Wide Virtual Screening by Multi-Task Deep Learning Evolutionary Multiobjective Molecule Optimization in an Implicit Chemical Space Evolutionary Multiobjective Molecule Optimization in an Implicit Chemical Space Turning anecdotal irradiation-induced anticancer immune responses into reproducible in situ cancer vaccines via disulfiram/copper-mediated enhanced immunogenic cell death of breast cancer cells Emerging opportunities of using large language models for translation between drug molecules and indications Kinome-Wide Virtual Screening by Multi-Task Deep Learning Development of Novel Methods for QSAR Modeling by Machine Learning Repeatedly: A Case Study on Drug Distribution to Each Tissue Preparation and Characterization of Nano-emulsion Formulations of Asparagus Densiflorus Root and Aerial Parts Extracts: Evaluation of in-vitro Antibacterial and Anticancer Activities of Nano-emulsion versus Pure Plant Extract Development and validation of a patient-level model to predict dementia across a network of observational databases Application of an Adapted Health Action Process Approach Model to Predict Engagement With a Digital Mental Health Website: Cross-Sectional Study Application of an Adapted Health Action Process Approach Model to Predict Engagement With a Digital Mental Health Website: Cross-Sectional Study Predicting blood-brain barrier permeability of molecules with a large language model and machine learning Neural regulation of slow waves and phasic contractions in the distal stomach: a mathematical model SDDSynergy: Learning Important Molecular Substructures for Explainable Anticancer Drug Synergy Prediction Inclusion complex of quercetin with sulfobutylether β-cyclodextrin: preparation, characterization, antioxidant and antibacterial activities and the inclusion mechanism Gtie-Rt: A Comprehensive Graph Learning Model for Predicting Drugs Targeting Metabolic Pathways in Human Enriching Anticancer Drug Pipeline with Potential Inhibitors of Cyclin-Dependent Kinase-8 Identified from Natural Products Exposure-Response Modeling in Adults and Adolescents With Schizophrenia to Support the Extrapolation of Brexpiprazole Efficacy to Adolescents PromptSMILES: prompting for scaffold decoration and fragment linking in chemical language models How is Membrane Permeation of Small Ionizable Molecules Affected by Protonation Kinetics? A hybrid Stacking-SMOTE model for optimizing the prediction of autistic genes Nanogels Based on N,N-Dimethylacrylamide and b-Cyclodextrin Triacrylate for Enhanced Solubility and Therapeutic Efficacy of Aripiprazole Modulating a model membrane of sphingomyelin by a tricyclic antidepressant drug Phenotypic Models of Drug-Drug-Gene Interactions Mediated by Cytochrome Drug-Metabolizing Enzymes Enhancing drug discovery in schizophrenia: a deep learning approach for accurate drug-target interaction prediction - DrugSchizoNet Enhancing drug discovery in schizophrenia: a deep learning approach for accurate drug-target interaction prediction - DrugSchizoNet Smart laser Sintering: Deep Learning-Powered powder bed fusion 3D printing in precision medicine Novel opportunities for clinical pharmacy research: development of a machine learning model to identify medication related causes of delirium in different patient groups Accelerating Molecular Docking using Machine Learning Methods Dementia incidence varied by anticancer drugs and molecular targeted therapy in a population-based cohort study Nanoquercetin and Extracellular Vesicles as Potential Anticancer Therapeutics in Hepatocellular Carcinoma Application of Deep Learning for Studying NMDA Receptors Immunotherapy and drug sensitivity predictive roles of a novel prognostic model in hepatocellular carcinoma Artificial Neural Network and Response Surface Methodology for Predicting and Maximizing Biodiesel Production from Waste Oil with KI/CaO/Al2O3 Catalyst in a Fixed Bed Reactor PBPK modeling to predict the pharmacokinetics of venlafaxine and its active metabolite in different CYP2D6 genotypes and drug-drug interactions with clarithromycin and paroxetine HydrogelFinder: A Foundation Model for Efficient Self-Assembling Peptide Discovery Guided by Non-Peptidal Small Molecules Machine learning-based prediction of sertraline concentration in patients with depression through therapeutic drug monitoring Hybrid fragment-SMILES tokenization for ADMET prediction in drug discovery Generating PET scan patterns in Alzheimer's by a mathematical model Standardization of zebrafish drug testing parameters for muscle diseases Artificial intelligence for high content imaging in drug discovery Analysis of fractal-fractional Alzheimer's disease mathematical model in sense of Caputo derivative From data to discovery: AI-guided analysis of disease-relevant molecules in spinal muscular atrophy (SMA) A machine learning algorithm-based model for predicting the risk of non-suicidal self-injury among adolescents in western China: A multicentre cross-sectional study Machine learning can reliably predict malignancy of breast lesions based on clinical and ultrasonographic features An economon model of drug addiction Musculoskeletal Health and Work: Development and Internal-External Cross-Validation of a Model to Predict Risk of Work Absence and Presenteeism in People Seeking Primary Healthcare Musculoskeletal Health and Work: Development and Internal-External Cross-Validation of a Model to Predict Risk of Work Absence and Presenteeism in People Seeking Primary Healthcare Virtual twins for model-informed precision dosing of clozapine in patients with treatment-resistant schizophrenia Development and validation of a model to predict ceiling of care in COVID-19 hospitalized patients Nonpharmacological intervention therapies for dementia: potential break-even intervention price and savings for selected risk factors in the European healthcare system Identification of Anticancer Peptides from the Genome of Candida albicans: in Silico Screening, in Vitro and in Vivo Validations Localized Sustained Release of Copper Enhances Antitumor Effects of Disulfiram in Head and Neck Cancer Mining Real-World Big Data to Characterize Adverse Drug Reaction Quantitatively: Mixed Methods Study Efficient Deep Model Ensemble Framework for Drug-Target Interaction Prediction An EEG Signature of MCH Neuron Activities Predicts Cocaine Seeking Discovery of LH10, a novel fexaramine-based FXR agonist for the treatment of liver disease