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      Praktični aspekti u određivanju antikoagulantnog dejstva direktnih oralnih antikoagulantnih lekova [1]
      Prašina od rastavljanja e-otpada kao izvor hemikalija koje ometaju rad endokrinog sistema: In silico testiranje toksičnosti smeše na štitnu žlezdu i muški reproduktivni sistem [1]
      Pre-Game And Post-Game Hydration Status Of Young Basketball Players [1]
      Preanalytical and analytical challenges in gas chromatographic determination of cholesterol synthesis and absorption markers [1]
      Preclinical Evaluation of an Imidazole-Linked Heterocycle for Alzheimer’s Disease [1]
      Precondition for the implementation of national medicines policy [1]
      Predicting absorption and pharmacokinetic profile of carbamazepine from controlled-release tablet formulation in humans using rabbit model [1]
      Predicting APCI Signal Intensities of Diverse Antipsychotics by Mixed QSPR Models and Comparison of Their Generalization Performances [1]
      Predicting drug release from diazepam FDM printed tablets using deep learning approach: Influence of process parameters and tablet surface/volume ratio [1]
      Predicting in vivo behavior of sustained release matrix tablet formulation: numerical convolution versus artificial neural network analysis [1]
      Predicting liquid chromatography−electrospray ionization/mass spectrometry signal from the structure of model compounds and experimental factors; case study of aripiprazole and its impurities [1]
      Predicting of positive and negative effects of sulforaphane in prostatic and pancreatic cancer patients by toxicogenomic data analysis [1]
      Predicting Optimal Dihydroartemisinin-Piperaquine Regimens to Prevent Malaria During Pregnancy for Human Immunodeficiency Virus-Infected Women Receiving Efavirenz [1]
      Predicting sulforaphane-induced adverse effects in colon cancer patients via in silico investigation [1]
      Predicting sulforaphane-induces adverse effects in prostatic cancer patients via in silico investigation [1]
      Predicting targets of compounds against neurological diseases using cheminformatic methodology [1]
      Predicting toxic effects of an immunomodulator, sulforaphane: Bioinformatic analsis [1]
      Prediction of adverse effects of sulforaphane by in silico testing of targeted genes, protein- protein interactions and molecular classes [1]
      Prediction of aqueous solubility of drug-like molecules using a novel algorithm for automatic adjustment of relative importance of descriptors implemented in counter-propagation artificial neural networks [1]
      Prediction of blood-brain barrier permeation of alpha-adrenergic and imidazoline receptor ligands using PAMPA technique and quantitative-structure permeability relationship analysis [1]