Tech & Engineering
Updates every hour. Last Updated: 6-Apr-2026 11:16 ET (6-Apr-2026 15:16 GMT/UTC)
AI tool spots blood cell abnormalities missed by doctors
University of CambridgePeer-Reviewed Publication
An AI tool that can analyse abnormalities in the shape and form of blood cells, and with greater accuracy and reliability than human experts, could change the way conditions such as leukaemia are diagnosed.
- Journal
- Nature Machine Intelligence
AI tool can analyse complex cancer images rapidly – offering potential to personalise treatment
University of CambridgePeer-Reviewed Publication
Complex digital images of tissue samples that can take an experienced pathologist up to 20 minutes to annotate could be analysed in just one minute using a new AI tool developed by researchers at the University of Cambridge. SMMILe, a machine learning algorithm, is able not only to correctly detect the presence of cancer cells on slides taken from biopsies and surgical sections, but it can predict where the tumour lesions are located and even the proportion of regions with different levels of aggressiveness.
- Journal
- Nature Cancer
- Funder
- Cancer Research UK, GE Healthcare
Unraveling tea’s genetic heritage: Study reveals five distinct assamica lineages across Asia
Maximum Academic PressPeer-Reviewed Publication
- Journal
- Beverage Plant Research
Advancements and innovations in low temperature hydrogen electrochemical conversion devices driven by 3D printing technology
Shanghai Jiao Tong University Journal CenterPeer-Reviewed Publication
3D printing, as a versatile additive manufacturing technique, offers high design flexibility, rapid prototyping, minimal material waste, and the capability to fabricate complex, customized geometries. These attributes make it particularly well-suited for low-temperature hydrogen electrochemical conversion devices—specifically, proton exchange membrane fuel cells, proton exchange membrane electrolyzer cells, anion exchange membrane electrolyzer cells, and alkaline electrolyzers—which demand finely structured components such as catalyst layers, gas diffusion layers, electrodes, porous transport layers, and bipolar plates. This review provides a focused and critical summary of the current progress in applying 3D printing technologies to these key components. It begins with a concise introduction to the principles and classifications of mainstream 3D printing methods relevant to the hydrogen energy sector and proceeds to analyze their specific applications and performance impacts across different device architectures. Finally, the review identifies existing technical challenges and outlines future research directions to accelerate the integration of 3D printing in next-generation low-temperature hydrogen energy systems.
- Journal
- Nano-Micro Letters
How does adoption of artificial intelligence affect employees’ job satisfaction?
WileyPeer-Reviewed Publication
- Journal
- Journal of Management Studies
Global and European experts convene in Warsaw for Europe’s leading public health conference on infectious diseases
European Centre for Disease Prevention and Control (ECDC)Meeting Announcement