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Image: Researchers are exploring the use of ML for a minimally invasive system to detect Alzheimer\'s disease (Photo courtesy of NIH)

Biosensing Platform Combined with Machine Learning to Enable Minimally-Invasive Detection of Alzheimer's

A team of researchers led by Penn State (University Park, PA, USA) has received a USD 1.2 million grant from the National Institutes of Health (NIH, Bethesda, MD, USA) to help fund a project to develop a machine learning system for early Alzheimer’s disease detection More...
28 Oct 2022
Image: Schematic of the intelligent impedance system, consisting of a parallel impedance cytometry and a machine learning-based detection system (Photo courtesy of Yaxiaer Yalikun, PhD)

Parallel Impedance Cytometry Screens Bacterial Cells in Real Time

Antibiotic-resistant infections are responsible for killing over a million people worldwide every year. Central to managing resistant infections is quickly identifying an appropriate treatment to which the infective bacteria are susceptible. Significant time is needed to determine the drug susceptibility profile of a bacterial infection. More...
25 Oct 2022
Image: Light-analyzing ‘lab on a chip’ opens door to widespread use of portable spectrometers (Photo courtesy of Oregon State University)

‘Lab on a Chip’ Paves Way for Use of Portable Spectrometer in Biomedical Analysis

Scientists have developed a better tool to measure light, contributing to a field known as optical spectrometry and resulting in a powerful, ultra-tiny spectrometer that fits on a microchip and is operated using AI. The research involved a comparatively new class of super-thin materials known as two-dimensional semiconductors, and the upshot is a proof of concept for a spectrometer that could be readily incorporated into a variety of technologies – including biomedical analyzers, among others. More...
24 Oct 2022
Image: New model acts as search engine for large databases of pathology images (Photo courtesy of Brigham and Women’s Hospital)

Self-Teaching AI Algorithm Uses Pathology Images to Diagnose Rare Diseases

Researchers have developed a deep learning algorithm that can teach itself to learn features which can then be used to find similar cases in large pathology image repositories and has many potential applications, including identifying rare diseases. More...
11 Oct 2022
Image: The MasSpec Pen, a handheld mass spectrometry-based device, enables rapid analysis of biological samples, including clinically relevant bacteria (Photo courtesy of Vivian Abagiu/University of Texas)

Handheld Mass Spectrometry Probe Identifies Clinically Relevant Bacteria

Rapid identification of bacteria is critical to prevent antimicrobial resistance and ensure positive patient outcomes. Identifying bacteria while a patient is still in surgery could allow doctors to more quickly move to a targeted antibiotic for their infection. More...
04 Oct 2022
Image: New non-invasive blood glucose monitoring process could put an end to painful pricks to draw blood (Photo courtesy of Pexels)

Non-Invasive Process Determines Blood Glucose Levels Without Sample

Researchers have created a non-invasive process that can identify the exact value of blood glucose with 90% accuracy without taking a blood sample. More...
03 Oct 2022
Image: The UG100 sequencer used for single-cell RNA sequencing (Photo courtesy of Ultima Genomics)

Ultima Genomics Sequencer for Single-Cell RNA-Seq Evaluated

Single-cell RNA sequencing (scRNA-seq) enables the study and characterization of cellular states and pathways at ever-growing investigational scales, including the Human Cell Atlas, cell atlases for tumors and other diseases, and large-scale Perturb-Seq screens of millions of cells under genetic or drug perturbations. More...
19 Sep 2022
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