Publications by authors named "Ali Hadizadeh Esfahani"

Generalization of transcriptomics results can be achieved by comparison across experiments. This generalization is based on integration of interrelated transcriptomics studies into a compendium. Such a focus on the bigger picture enables both characterizations of the fate of an organism and distinction between generic and specific responses.

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Translational models directly relating drug response specific processes that can be observed in vitro to their in vivo role in cancer patients constitute a crucial part of the development of personalized medication. Unfortunately, current studies often focus on the optimization of isolated model characteristics instead of examining the overall modeling workflow and the interplay of the individual model components. Moreover, they are often limited to specific data sets only.

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Summary: Translational models that utilize omics data generated in in vitro studies to predict the drug efficacy of anti-cancer compounds in patients are highly distinct, which complicates the benchmarking process for new computational approaches. In reaction to this, we introduce the uniFied translatiOnal dRug rESponsE prEdiction platform FORESEE, an open-source R-package. FORESEE not only provides a uniform data format for public cell line and patient datasets, but also establishes a standardized environment for drug response prediction pipelines, incorporating various state-of-the-art pre-processing methods, model training algorithms and validation techniques.

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Proteome balance is safeguarded by the proteostasis network (PN), an intricately regulated network of conserved processes that evolved to maintain native function of the diverse ensemble of protein species, ensuring cellular and organismal health. Proteostasis imbalances and collapse are implicated in a spectrum of human diseases, from neurodegeneration to cancer. The characteristics of PN disease alterations however have not been assessed in a systematic way.

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Synopsis of recent research by authors named "Ali Hadizadeh Esfahani"

  • - Ali Hadizadeh Esfahani's recent research encompasses improving drug response modeling in cancer treatment, emphasizing the need for systematic approaches to enhance the reliability and personalization of medication based on translational models.
  • - His work also focuses on the integration of transcriptomic studies to compare plant stress responses, promoting a broader understanding of interspecies reactions to stress through a comprehensive tool called Plant PhysioSpace.
  • - Additionally, Esfahani has contributed to understanding the regulation of the proteostasis network (PN) in relation to various diseases, including cancer, highlighting the complex alterations in chaperome deregulation across the human cancer landscape.