Science × art collaborations can effectively convey scientific insights to a wide audience. Throughout history, art has interpreted the natural world, offering vast, underexplored sources of biodiversity data. These artistic efforts also hold potential as valuable tools for understanding biodiversity.
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http://dx.doi.org/10.1016/j.tree.2024.12.004 | DOI Listing |
Neurophysiol Clin
January 2025
Neuroscience and Human Genetics Department, Meyer Children's Hospital IRCCS, Full Member of European Reference Network on Rare and Complex Epilepsies, EpiCARE, viale Pieraccini 24, 50139, Florence, Italy; Neurofarba Department, University of Florence, viale Pieraccini 6, 50139, Florence, Italy.
Stereo-EEG is not just a diagnostic examination but a complex methodology, requiring an accurate synthesis of many data (anatomical, clinical, neurophysiological, cognitive, metabolic, and genetic). The implantation scheme is decided based on a hypothesis (or hypotheses) of epileptogenic zone localization. Subsequently, intracerebral electrical stimulation is used to define the extent of highly functional cortical regions and to reproduce the clinical symptoms and signs associated with seizures.
View Article and Find Full Text PDFAIDS
January 2025
Botswana Harvard Health Partnership, Gaborone, Botswana.
Objective: To examine the impact of in utero exposure to dolutegravir (DTG)- or efavirenz (EFV)-based antiretroviral treatment (ART) on child neurodevelopmental (ND) outcomes.
Design: Prospective cohort design, enrolling 3 cohorts of 2-year-olds: children HIV-negative born to mothers with HIV (CHEU) receiving either DTG-based or EFV-based 3-drug ART during pregnancy, and children born to mothers without HIV (CHUU).
Methods: Primary child ND outcomes were assessed using the Bayley Scales of Infant and Toddler Development, Third Edition (BSID-III) and compared between cohorts using generalized estimating equation models adjusted for confounders.
J Antimicrob Chemother
January 2025
Research Laboratory, Botswana Harvard Health Partnership, Gaborone, Botswana.
Objectives: We assessed HIV-1 drug resistance profiles among people living with HIV (PLWH) with detectable viral load (VL) and on dolutegravir-based antiretroviral therapy (ART) in Botswana.
Methods: The study utilised available 100 residual HIV-1 VL samples from unique PLWH in Francistown who had viraemia at-least 6 months after initiating ART in Botswana's national ART program from November 2023 to January 2024. Viraemia was categorized as low-level viraemia (LLV) (VL: 200-999 copies/mL) or virologic failure (VF) (VL ≥1000 copies/mL).
Per Med
January 2025
Department of Clinical Pharmacy, Zhejiang Provincial Key Laboratory for Drug Evaluation and Clinical Research, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Efforts have been made to leverage technology to accurately identify tumor characteristics and predict how each cancer patient may respond to medications. This involves collecting data from various sources such as genomic data, histological information, functional drug profiling, and drug metabolism using techniques like polymerase chain reaction, sanger sequencing, next-generation sequencing, fluorescence in situ hybridization, immunohistochemistry staining, patient-derived tumor xenograft models, patient-derived organoid models, and therapeutic drug monitoring. The utilization of diverse detection technologies in clinical practice has made "individualized treatment" possible, but the desired level of accuracy has not been fully attained yet.
View Article and Find Full Text PDFBrief Bioinform
November 2024
Center for Genomics and Biotechnology, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, Haixia Institute of Science and Technology, Fujian Agriculture and Forestry University, No. 15 Shangxiadian Road, Cangshan District, Fuzhou 350002, China.
Spatial transcriptomics (ST) technologies enable dissecting the tissue architecture in spatial context. To perceive the global contextual information of gene expression patterns in tissue, the spatial dependence of cells must be fully considered by integrating both local and non-local features by means of spatial-context-aware. However, the current ST integration algorithm ignores for ST dropouts, which impedes the spatial-aware of ST features, resulting in challenges in the accuracy and robustness of microenvironmental heterogeneity detecting, spatial domain clustering, and batch-effects correction.
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