research 8 / Experimental induction of tenuazonic acid toxicity in mice model
Low levels of tenuazonic acid can severely damage vital organs.
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research KRDQN: An Interpretable Prediction Framework for Adverse Drug Reactions via Knowledge–Graph Reinforced Deep Q-Learning
KRDQN effectively predicts adverse drug reactions with high accuracy and clear explanations.
research Artificial Intelligence in Dermatology: Assessing Predictability in Clinical Diagnosis
The AI showed high accuracy in diagnosing skin conditions but needs improvement for immunological and infectious disorders.
research Contaminants of emerging concern in the fetal environment
Fetal environments contain various chemicals that may disrupt hormones.
research Integrated edge information and pathway topology for drug-disease associations
iEdgePathDDA effectively finds new drug-disease links, outperforming other methods.
research Xenobiotica-metabolizing enzymes in the skin of rat, mouse, pig, guinea pig, man, and in human skin models
Different species and human skin models vary in their skin enzyme activities, with pig skin and some models closely matching human skin, useful for safety assessments and understanding the skin's protective roles.
research Identification of Hypoxia and Mitochondrial-related Gene Signature and Prediction of Prognostic Model in Lung Adenocarcinoma
A gene-based model predicts lung adenocarcinoma outcomes and helps guide treatment decisions.
research Toxicity profile of antibody-drug conjugates in breast cancer: practical considerations
ADCs can effectively treat breast cancer but may cause side effects like nausea and hair loss.
research Advancing Design Strategy of PROTACs for Cancer Therapy
PROTACs show promise for cancer treatment, but designing them effectively is challenging.
research DrugNet: Network-based drug–disease prioritization by integrating heterogeneous data
DrugNet effectively identifies new uses for existing drugs and may save resources in drug development.
research Topological Markers for Subcellular Chemical Mapping using TOF-SIMS
TOF-SIMS improved chemical mapping in cells, confirming gunshot residue, tracking anti-tumor drugs, and identifying molecules in mosquitoes and wounds.
research Application of big data analytics in minoxidil drug development: a data-driven model for predicting efficacy and side effect risks
The model predicts minoxidil's effectiveness and side effects better than traditional methods.
research Internal medicine-important advances in clinical medicine: toxic shock syndrome.
research A hair-follicle reconstructed in vitro immunocompetent skin model for prediction of the sensitizing potential of chemicals
The new skin model can predict how chemicals might cause skin allergies.
research Using a capture–recapture method to assess the frequency of adverse drug reactions in a French university hospital
The study found that combining different databases gives a better estimate of drug side effects in hospitals.
research 706 Predictive modeling of patient response to JAK/STAT inhibitors and dynamic patient-matching
Machine learning can predict how well patients with alopecia areata will respond to certain treatments.
research Fecal Microbiota and Metabolites Predict Metabolic Health Features Across Various Dietary Patterns
Diet changes can improve skin health by altering the immune response and skin microbiome.
research Peptide-Based PROTACs: Transitioning from Static Paradigm to a Dynamic Landscape within Targeted Protein Degradation
Peptide-based PROTACs show promise in targeting hard-to-treat proteins, especially for cancer therapy.
research PROTACs: A novel strategy for cancer drug discovery and development
PROTAC technology shows promise for cancer treatment but needs more effective E3 ligase recruiters.
research 210 THE NEW APPROACH TO EARLY DIAGNOSIS OF ADENOMYOSIS
A new method can almost perfectly distinguish adenomyosis from similar conditions using blood tests.
research Algorithms For Preventive Measures For Disease Prevention And Antioxidant Protection
Understanding genetic traits can help doctors create personalized detox and nutrition plans to boost antioxidant protection.
research A Method to Monitor Dutasteride in Rat Plasma Using Liquid-Liquid Extraction and Multiple Reaction Monitoring: Comparisons and Validation
The best method to monitor dutasteride in rat plasma is liquid-liquid extraction with methyl tert-butyl ether and methylene chloride.
research A method for simultaneous analysis of androgens, dutasteride and finasteride in human serum by liquid chromatography tandem mass spectrometry
A new method was developed to analyze certain hormones and drugs in human blood efficiently.
research Peer Review #3 of "Computational drug repositioning based on side-effects mined from social media (v0.2)"
The study improved and was accepted despite initial concerns about data clarity, methodology, and potential overfitting.
research Data-driven strategies for drug repurposing: insights, recommendations, and case studies
Data-driven methods can effectively identify existing drugs for new uses, especially in cancer, infections, and respiratory diseases.
research ADT-G as a promising biomarker for peripheral hyperandrogenism in adult female acne
ADT-G may be a useful indicator of increased androgen levels in women with acne and can be lowered with certain birth control pills.
research Optimizing treatment management of trastuzumab deruxtecan in clinical practice of breast cancer
Trastuzumab deruxtecan is effective for HER2-positive breast cancer but requires careful management of side effects.
research Carbobenzoxy-capped Phe-Lys(BODIPY TMR-X-acyloxymethyl ketone(QSY7)
Near-infrared probes can safely and effectively image cysteine protease activity for disease diagnosis.
research Antibody Drug Conjugates
Antibody drug conjugates show promise in targeting cancer cells while reducing harm to healthy cells.
research N‑K GM SERIES: COMPLETE GEOMETRIC MEDICINE FOR SUDAN AND THE AFLATOXIN BELT — A Unified Solution for Aflatoxin Poisoning, Cancer, and Public Health Transformation
The N-K GM Series offers a new method to reduce aflatoxin poisoning and cancer, improving health and saving costs in affected regions.