BioWorld - Thursday, December 25, 2025

Articles Tagged with ''ischemic stroke''

starpax magnetodrone
Patents

Starpax continues to build IP for its Magnetodrones platform

March 8, 2024
By Simon Kerton
Starpax Biopharma Inc. files for further protection of its anticancer technology that uses magnetically steered bacteria to spread chemotherapy drugs throughout the volume of tumors. Its latest filing describes a method for preparing a subject for a medical intervention with magnetotactic bacteria tethered to treatment, imaging or diagnostic agents.
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Neurology/Psychiatric

VST Bio presents data on novel anti-syndecan-2 antibody

Feb. 14, 2024
It has been shown that vascular endothelial growth factor A (VEGF-A) induces blood-brain barrier disruption and vasogenic edema and it is up-regulated in stroke. When bound to its receptor, VEGF promotes angiogenesis and neuroprotection, in addition to inducing vasogenic edema. VST Bio Ltd. and Yale University have presented data on their monoclonal antibody against syndecan-2, named VST-002, that completely blocks VEGF-driven vasogenic edema while preserving neuroprotective effects.
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Brain and neural networks
Neurology/Psychiatric

New geometric deep learning model detects cerebral lesions more accurately

Aug. 4, 2023
By Bernard Banga
A research team from Leipzig University, the Max Planck Institute and Heidelberg University, all in Germany, devised a new segmentation algorithm for stroke lesions that improves upon previous methods. They used machine-learning models to effect CT image segmentation in the early stages of acute stroke. The research team published their findings on the fully convolutional graph network in July in the Journal of Medical Imaging.
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Brain and neural networks

New geometric deep learning model detects cerebral lesions more accurately

Aug. 3, 2023
By Bernard Banga
A research team from Leipzig University, the Max Planck Institute and Heidelberg University, all in Germany, devised a new segmentation algorithm for stroke lesions that improves upon previous methods. They used machine-learning models to effect CT image segmentation in the early stages of acute stroke. The research team published their findings on the fully convolutional graph network in July in the Journal of Medical Imaging.
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