In the face of patent expirations at a time of declining innovation across the industry, companies are restructuring their research and development operations and are pursuing an aggressive strategy of acquisitions, licensing deals and research collaborations to boost their drug pipelines.
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Larviciding for malaria control and elimination in Africa.
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RBM Partnership Vector Control Working Group, Chem du Pommier 40, 1218, Le Grand-Saconnex, Switzerland.
Background: Global progress toward malaria elimination and eradication goals has stagnated in recent years, with many African countries reporting increases in malaria morbidity and mortality. Insecticide-treated nets and indoor residual spraying are effective, but the emergence and increased intensity of insecticide resistance and the challenge of outdoor transmission are undermining their impact. New tools are needed to get back on track towards global targets.
View Article and Find Full Text PDFCutting through the noise: A narrative review of Alzheimer's disease plasma biomarkers for routine clinical use.
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January 2025
Clinical Memory Research Unit, Clinical Sciences in Malmö, Lund University, Lund, Sweden; Memory Clinic, Skåne University Hospital, Sweden. Electronic address:
As novel, anti-amyloid therapies have become more widely available, access to timely and accurate diagnosis has become integral to ensuring optimal treatment of patients with early-stage Alzheimer's disease (AD). Plasma biomarkers are a promising tool for identifying AD pathology; however, several technical and clinical factors need to be considered prior to their implementation in routine clinical use. Given the rapid pace of advancements in the field and the wide array of available biomarkers and tests, this review aims to summarize these considerations, evaluate available platforms, and discuss the steps needed to bring plasma biomarker testing to the clinic.
View Article and Find Full Text PDFAtmospheric nitrogen oxides (NO), hydrogen sulphide (HS) and carbon monoxide (CO): Boon or Bane for plant metabolism and development?
Environ Pollut
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Plant Physiology and Biochemistry Laboratory, Department of Botany, University of Delhi, Delhi 110007, India. Electronic address:
Urban air pollution has been a global challenge world-wide. While urban vegetation or forest modelling can be useful in reducing the toxicities of the atmospheric gases by their absorption, the surge in gaseous pollutants negatively affects plant growth, thereby altering photosynthetic efficiency and harvest index. The present review analyses our current understanding of the toxic and beneficial effects of atmospheric nitrogen oxides (NO), hydrogen sulphide (HS) and carbon monoxide (CO) on plant growth and metabolism.
View Article and Find Full Text PDFTranscranial Brain Atlas Based on Photon Measurement Density Function in a Triple-Parameter Standard Channel Space.
Neuroimage
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State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China; IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China; Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing, China. Electronic address:
Functional near-infrared spectroscopy (fNIRS) is a widely-used transcranial brain imaging technique in neuroscience research. Nevertheless, the lack of anatomical information from recordings poses challenges for designing appropriate optode montages and for localizing fNIRS signals to underlying anatomical regions. The photon measurement density function (PMDF) is often employed to address these issues, as it accurately measures the sensitivity of an fNIRS channel to perturbations of absorption coefficients at any brain location.
View Article and Find Full Text PDFGMmorph: dynamic spatial matching registration model for 3D medical image based on gated Mamba.
Phys Med Biol
January 2025
School of Software Engineering, Xi'an Jiaotong University, Xi 'an Jiaotong University Innovation Port, Xi 'an, Shaanxi Province, Xi'an, Shaanxi, 710049, CHINA.
Deformable registration aims to achieve nonlinear alignment of image space by estimating a dense displacement field. It is commonly used as a preprocessing step in clinical and image analysis applications, such as surgical planning, diagnostic assistance, and surgical navigation. We aim to overcome these challenges: Deep learning-based registration methods often struggle with complex displacements and lack effective interaction between global and local feature information.
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