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Translational pharmacokinetic-toxicodynamic model of myelosuppression for dose optimization in combination chemotherapy of capecitabine and oxaliplatin from rats to humans [Drug Discovery and Translational Medicine]

ASPET

Mathematical modeling combining pharmacokinetics (PK) and toxicodynamics (TD) is a promising approach for optimizing dosing strategies and reducing toxicity. This study aimed to develop a translational PK-TD model using rat data to inform dosing strategies and TD implications in humans.

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Informed Design of Bioanalytical PCR Assay Testing Parameters

PPD

These treatments use a vector to introduce the desired nucleic acid code to replace or modify protein expression or use cells to alter/restore a specific cell type. The post Informed Design of Bioanalytical PCR Assay Testing Parameters appeared first on PPD Inc.

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The Data-Driven Future of Drug Development

DrugBank

Computational chemistry and molecular modeling techniques can predict potential drug candidates' binding affinity and pharmacokinetic properties, enabling the selection of the most promising compounds for further development.

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Biochemical assays and deep cyclic inhibition in cancer treatment

Drug Target Review

Molecular-level biochemical assays like transcriptomics, genomics and proteomics have emerged as valuable tools for identifying potential targets in cancer treatment through deep cyclic inhibition (DCI). Importantly, transcriptomics information shows that certain aspects of a disease change the gene expression profile.

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Four Pain Models Altasciences Uses to Assess Treatments During Clinical Trials

Alta Sciences

Four Pain Models Altasciences Uses to Assess Treatments During Clinical Trials pmjackson Wed, 09/13/2023 - 17:01 September is pain awareness month, and the importance of pain management and continued research into effective analgesics is integral to helping patients suffering from various pain conditions.

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Applying Artificial Intelligence to Transform the Patient Enrollment Paradigm in Clinical Research

PPD

In today’s data-driven world, AI has become valuable and indispensable, enabling organizations to extract valuable insights from vast amounts of data, make informed decisions and drive innovation across different sectors — including drug development.

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RYBREVANTTM (amivantamab-vmjw) in the Treatment of Patients with Advanced Non-Small.

The Pharma Data

The Janssen Pharmaceutical Companies of Johnson & Johnson today announced preliminary data from the Phase 1 CHRYSALIS study evaluating RYBREVANT TM (amivantamab-vmjw) for the treatment of patients with non-small cell lung cancer (NSCLC) with mesenchymal-epithelial transition (MET) exon 14 skipping (METex14) mutations. 4] , [5] , [6].