Publications by authors named "C F Poh"

Detecting alterations in plasmid structures is often performed using conventional molecular biology. However, these methods are laborious and time-consuming for studying the conditions inducing these mutations, which prevent real-time access to cell heterogeneity during bioproduction. In this work, we propose combining both flow cytometry and fluorescence-activated cell sorting, integrated with mechanistic modelling to study conditions that lead to plasmid recombination using a limonene-producing microbial system as a case study.

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The effectiveness of using vegetation to reinforce slopes is influenced by the soil and vegetation characteristics. Hence, this study pioneers the construction of an extensive soil database using random forest machine learning and ordinary kriging methods, focusing on the influence of plant roots on the saturated and unsaturated properties of residual soils. Soil organic content, which includes contributions from both soil organisms and roots, functions as a key factor in estimating soil hydraulic and mechanical properties influenced by vegetation roots.

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Background: The tumor microenvironment (TME), including infiltrating T-cells, is thought to play a major role in the pathogenesis and prognosis of follicular lymphoma (FL) and may contribute to its widely varied disease course. We hypothesized that programmed death-1 inhibition may be most effective in untreated, immunocompetent FL patients. Thus, we developed a phase 2 study to evaluate the efficacy of pembrolizumab as the initial treatment for indolent B-cell lymphoma.

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Article Synopsis
  • - Immune effector cell-associated hematotoxicity (ICAHT) significantly affects patients undergoing CAR T-cell therapy, and the factors linked to severe forms of it are not well understood.
  • - Researchers identified key pre-infusion and post-infusion factors that predict early severe ICAHT in a study involving 691 patients; these included disease type, blood counts, inflammatory and coagulopathy markers.
  • - Two predictive models (eIPMPre and eIPMPost) were developed and validated, showing strong accuracy in predicting severe ICAHT, with the post-infusion model being particularly effective; an online tool for individualized predictions is available for use.
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Purpose: Venetoclax is the standard of care for chronic lymphocytic leukemia (CLL)/small lymphocytic lymphoma (SLL) but requires intensive monitoring for optimal safety. Clinical relevance of intensive monitoring in practice is unknown, especially for patients with low or intermediate risk for tumor lysis syndrome (TLS).

Patients And Methods: A retrospective review was conducted to determine clinical significance of monitoring for TLS during standard ramp-up for patients with CLL/SLL.

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