Toggle light / dark theme

Get the latest international news and world events from around the world.

Log in for authorized contributors

Smart laser welding to eliminate filler wire in EV battery housings

Laser welding tech enables crack-free EV battery housings without filler wire.


Researchers in Germany have recently unveiled a novel laser welding technology that eliminates the need for filler wire and delivers stronger, crack-free joints for electric vehicles, aerospace tanks, and heavy steel structures.

Developed by the Fraunhofer Institute for Material and Beam Technology IWS in Dresden, the process uses dynamic beam shaping to control the melt pool, reduce pores, and stabilize welds.

Transferrin receptor–targeted anti-amyloid antibody enhances brain delivery and mitigates ARIA

Paper on a promising Alzheimer’s immunotherapy: engineered asymmetric anti-amyloid-β antibody with a transferrin receptor binding domain for crossing the blood-brain-barrier and a mutation which mitigates harmful side effects seen in past versions of this type of treatment. #immunotherapy #alzheimers


Amyloid-related imaging abnormalities (ARIA), side effects of anti-amyloid drugs seen in magnetic resonance imaging of the brain, are a major safety concern in patients with Alzheimer’s disease. We developed an antibody transport vehicle (ATV) targeting transferrin receptor (TfR) for brain delivery of anti-amyloid-β protein (anti-Aβ) using asymmetrical Fc mutations (ATVcisLALA) that mitigates TfR-related liabilities and retains effector function when bound to Aβ. Administration of ATVcisLALA:Aβ in mice exhibited broad brain distribution and enhanced parenchymal plaque target engagement. This biodistribution reduced ARIA-like lesions and vascular inflammation. Taken together, ATVcisLALA has the potential to improve the next generation of Aβ immunotherapy through enhanced biodistribution mediated by transport across the blood-brain barrier.

Artificial neuron merges DRAM with MoS₂ circuits to better emulate brain-like adaptability

The rapid advancement of artificial intelligence (AI) and machine learning systems has increased the demand for new hardware components that could speed up data analysis while consuming less power. As machine learning algorithms draw inspiration from biological neural networks, some engineers have been working on hardware that also mimics the architecture and functioning of the human brain.

/* */