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A portable prototype scanner for brain MRI that uses a compact and lightweight permanent rare-earth magnet with a built-in readout field gradient generates clinically relevant images of the brain, as shown in adult volunteers.
The specific high-sensitivity enzymatic reporter unlocking (SHERLOCK) assay detected severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA with high sensitivity and specificity in hundreds of nasopharyngeal and throat swab samples collected at Siriraj Hospital in Thailand.
A custom-made fidget spinner rapidly concentrates pathogens in 1-ml samples of undiluted urine by more than 100-fold for the on-device colorimetric detection of bacterial load and pathogen identification.
A fast and inexpensive point-of-care assay based on CRISPR–Cas13 accurately detects the DNA of opportunistic viruses in blood and urine samples as well as an mRNA marker of renal transplant rejection in urine samples.
A ‘smart’ toilet that uses pressure and motion sensors, biometric identification, urinalysis strips, a computer-vision uroflowmeter and machine learning longitudinally tracks biomarkers of health and disease in the user’s urine and stool.
An electrical biosensor combining CRISPR–Cas9 and a graphene field-effect transistor detects target genes in purified genomic samples at high sensitivity, within 15 minutes, and without the need for amplification.
An ultrasonic and stretchable device conformal to the skin that captures blood pressure waveforms at deeply embedded arterial and venous sites enables the continuous monitoring of cardiovascular events.
A point-of-care device that can run on a variety of power inputs enables isothermal nucleic acid quantification for the diagnosis of infectious diseases in resource-limited settings with unreliable electrical power supply.
A low-cost point-of-care device that uses contrast-enhanced microholography and deep learning accurately detects aggressive lymphomas in patients referred for aspiration and biopsy of enlarged lymph nodes.
A microfluidic assay that identifies sepsis from a single droplet of diluted blood by measuring the spontaneous motility of neutrophils showed 97% sensitivity and 98% specificity in two independent patient cohorts.
A hand-powered centrifuge made of two paper discs, string and wooden handles is shown to achieve rotational speeds of 125,000 r.p.m., separate pure plasma from whole blood in less than 1.5 minutes and isolate malaria parasites in 15 minutes.
To facilitate diagnostic radiology at the point of care, improvements in imaging hardware and processing software that raise the signal away from the noise floor are being leveraged toward improving device portability or accessibility.
An optofluidic chip incorporating a surface-enhanced Raman-scattering substrate rapidly detects picomolar concentrations of biomarkers of traumatic brain injury in finger-prick blood samples from patients.
Biomarkers of health and disease in urine and stool can be longitudinally tracked with a ‘smart’ toilet incorporating biometric identification, pressure and motion sensors, urinalysis strips and a uroflowmeter.
A custom fidget spinner that uses centrifugal forces to concentrate bacterial pathogens in urine samples enables the rapid on-device colorimetric detection of urinary tract infections and the testing of the pathogen’s susceptibility to antibiotics.
A microfluidic device for assaying neutrophil motility in blood samples from sepsis patients and a machine-learning algorithm trained with the motility data enable a faster and accurate sepsis diagnosis.
A hand-spun centrifuge made of paper and string can separate plasma from whole blood in less than two minutes, and be used to diagnose malaria and other infectious diseases in areas without laboratory resources or electricity.