Publications by authors named "J H Sadler"

Article Synopsis
  • - Immune thrombotic thrombocytopenic purpura (iTTP) is a serious condition involving low platelet counts due to a deficiency in the enzyme ADAMTS13, often treated with rituximab to prevent relapses.
  • - A study using data from the USTMA registry found that the time without relapse (relapse-free survival or RFS) decreased after each rituximab treatment, particularly for Black patients, suggesting that the effectiveness of the drug diminishes with repeated use.
  • - Both the USTMA registry and a separate cohort from Johns Hopkins and the University of Minnesota indicated that Black patients experience a significantly higher risk of relapse with subsequent rituximab treatments, implying a need
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Background: Resistance to antimalarial drugs remains a major obstacle to malaria elimination. Multiplexed, targeted amplicon sequencing is being adopted for surveilling resistance and dissecting the genetics of complex malaria infections. Moreover, genotyping of parasites and detection of molecular markers drug resistance in resource-limited regions requires open-source protocols for processing samples, using accessible reagents, and rapid methods for processing numerous samples including pooled sequencing.

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Increasing water stress is emerging as a global phenomenon, and is anticipated to have a marked impact on forest function. The role of tree functional strategies is pivotal in regulating forest fitness and their ability to cope with water stress. However, how the functional strategies found at the tree or species level scale up to characterise forest communities and their variation across regions is not yet well-established.

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Stream salinization is a global issue, yet few models can provide reliable salinity estimates for unmonitored locations at the time scales required for ecological exposure assessments. Machine learning approaches are presented that use spatially limited high-frequency monitoring and spatially distributed discrete samples to estimate the daily stream-specific conductance across a watershed. We compare the predictive performance of space- and time-unaware Random Forest models and space- and time-aware Recurrent Graph Convolution Neural Network models (KGE: 0.

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Humans have been driving a global erosion of species richness for millennia, but the consequences of past extinctions for other dimensions of biodiversity-functional and phylogenetic diversity-are poorly understood. In this work, we show that, since the Late Pleistocene, the extinction of 610 bird species has caused a disproportionate loss of the global avian functional space along with ~3 billion years of unique evolutionary history. For island endemics, proportional losses have been even greater.

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