There are already some encouraging signs of AI's potential to change the world of public healthcare provision, substantially for the better.
The range includes automated microbiology media preparators allowing preparation of media from 1 up to 50 L. These units can be integrated with the A.B.E. petri dish or tube and bottle fillers.
Invasion-Block is designed to measure the invasive capacity of cancer cells, enabling scientists to assess how well various drugs can prevent the spread of cancer.
The MGISP-NEX, from MGI, is a versatile automated nucleic acid extractor equipped with an independent 8-channel pipetting module, as well as a magnetic rod extraction module with two types of rods (96/24) that can be flexibly interchanged.
A one-stop modular sequencing workstation independently developed by MGI, the MGIFLP-L50 integrates extraction, library preparation, sequencing and data analysis (optional) into just one machine.
Researchers may be able to address the reproducibility crisis in the future by using AI to develop life science experiments in a cloud laboratory environment.
Researchers are deploying voice-assistant technology to make the laboratory safer for scientists who handle potentially infectious samples, as well as those with disabilities.
The automation of workflows offers significant advantages over manual procedures where high throughput and reproducible results are needed in short time frames.
The device eliminates the need to manually pipette and extract samples with a hands-free, automated approach to solid-phase extraction.
The QPix HT Microbial Colony Picker is a flexible, modular and fully automated colony picking and library management system, ready for robotics integration for high throughput and walkaway time.
It is now possible to identify AMR in large numbers of samples obtained from food-producing animals.
Researchers have found a way to automate the processing of blood donation packs — a concept that was believed to be impossible.
Automation is a vital component to fuel the labs of tomorrow, and to ensure that drug development continues at the rapid pace seen in response to COVID-19.
Researchers have developed a new bioinformatics tool for the precise prediction of cell transformation and disease formation, including cancers.
The SP3 platform has been repurposed to unify, standardise, analyse and compare sequence data of SARS-CoV-2, identifying variants of concern.