The digital transformation: How can labs embrace digitalization?
Panel of data science experts share their insights into how labs can ‘go digital’, and reveals a solution designed to help labs embrace digital advancements and go paperless
Panel of data science experts share their insights into how labs can ‘go digital’, and reveals a solution designed to help labs embrace digital advancements and go paperless
Researchers have developed risk prediction algorithms for many forms of cancer as a result of recent breakthroughs in AI
Researchers have demonstrated that the adverse effects of combination therapy could be predicted
New Mica imaging platform from Leica Microsystems brings previously inaccessible experiments to all life science researchers
Watch this webinar on demand for a state-of-the-art snapshot on high-throughput methods for fluorescence microscopy and mass spectrometry
The new technology hopes to help patients in remote areas across the world, through deep learning
The addition of machine learning broadens the diversity of images for analysis, enabling electron microscopy segmentation
A machine-learning model for image classification that’s trained using synthetic data can rival one trained on the real thing, a study shows.
Partnership combines microfluidics, 3D live-cell imaging and AI in an accessible workflow solution
First AI-driven research laboratory for multi-modal and multi-disease cardiac imaging established by a healthcare provider in Singapore and South East Asia
The collaboration aims to identify novel small molecule cMET inhibitors for non-small cell lung cancer
Agilent will integrate the technology into its lab informatics platforms enabling customers to automate GC/MS data analysis
Researchers at Cornell University have discovered how AI can be used for renewable energy across the Amazon basin
Researchers at Saarland University are collaborating with WADA on research projects which utilize AI systems
Researchers simulate the transmission of variants and effects of health measures
The machine learning algorithm aims to assist anesthesiologists
Study tests the ability of deep neural networks to properly classify segments of CT scans from three embryonic skulls previously discovered in the Gobi Desert
Study finds that software can accurately detect human movements performed during motor function assessments
Scientists at Korea Institute of Science and Technology have found a way to obtain CT images without exposure to radiation and only using MRI
UCL academics are working with Causaly to help accelerate research into the COVID-19 pandemic, including the identification of biomarkers and potential therapeutic agents