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Krebs von den Lungen-6 as a biomarker for distinguishing between interstitial lung disease and interstitial lung abnormalities based on computed tomography findings

Serum Krebs von den Lungen-6 (KL-6) levels are significantly elevated in patients with interstitial lung disease (ILD), suggesting its potential as a diagnostic biomarker. The study also highlights the relationship between KL-6 levels and pulmonary function, specifically forced vital capacity.

SourceNational Center for Respiratory Medicine·JournalJournal of Thoracic Disease·TypeObservational study·DateMay 9, 2025

New algorithms can help GPs predict which of their patients have undiagnosed cancer

Two new predictive algorithms use health data and blood tests to identify high-risk patients, offering improved accuracy in diagnosing cancers. The models identified additional medical conditions associated with increased cancer risk and new symptoms indicative of multiple cancer types.

SourceQueen Mary University of London·JournalNature Communications·TypeObservational study·DateMay 7, 2025
Apple iPhone 17 Pro

Apple iPhone 17 Pro delivers top performance and advanced cameras for field documentation, data collection, and secure research communications.

Breakthrough approach for diagnosing TB could significantly improve detection

A new strategy for tuberculosis (TB) screening could significantly improve detection, allowing for simultaneous screening of both active and dormant infections. This approach has the potential to save lives, curb infection rates, and rewrite the story of TB's continued spread.

SourceQueen Mary University of London·JournalEuropean Respiratory Journal·TypeSystematic review·DateApr 23, 2025

Generative AI’s diagnostic capabilities comparable to non-specialist doctors

A recent meta-analysis found that generative AI's diagnostic accuracy is lower than that of specialist doctors, with an average accuracy of 52.1%. The study suggests that while generative AI has the potential to support non-specialist doctors in diagnostics, further research is needed to improve its capabilities.

SourceOsaka Metropolitan University·Journalnpj Digital Medicine·TypeMeta-analysis·DateApr 18, 2025
Sony Alpha a7 IV (Body Only)

Sony Alpha a7 IV (Body Only) delivers reliable low-light performance and rugged build for astrophotography, lab documentation, and field expeditions.

Lessons learned from the COVID-19 pandemic

A recent study reveals critical vulnerabilities in global testing capacity during the COVID-19 pandemic, with socioeconomic disparities playing a significant role. The findings underscore the need for increased diagnostic capacity, equitable access to healthcare, and sustained international cooperation.

SourceGerman Center for Infection Research·JournalBMJ Open·TypeExperimental study·DateApr 7, 2025

New paper-based device boosts HIV test accuracy from dried blood samples

Researchers at Tufts University have developed a paper-based device that accurately measures HIV viral loads from dried blood samples, outperforming industry standards. The device, called the plasma spot card, was tested on 75 South African patients and showed improved accuracy in detecting drug-resistant mutations.

SourceTufts University·JournalProceedings of the National Academy of Sciences·TypeRandomized controlled/clinical trial·DateFeb 24, 2025

Landmark study of Chagas disease in Paraguay supports use of rapid tests to improve access to diagnosis

A landmark study led by ISGlobal found that combining rapid diagnostic tests with conventional serology improves access to diagnosis for Chagas disease. The prevalence of Chagas is six times higher in an indigenous community in Paraguay compared to the capital.

SourceBarcelona Institute for Global Health (ISGlobal)·JournalPLOS Neglected Tropical Diseases·TypeObservational study·DateFeb 18, 2025
Davis Instruments Vantage Pro2 Weather Station

Davis Instruments Vantage Pro2 Weather Station offers research-grade local weather data for networked stations, campuses, and community observatories.

Incorrect AI advice influences diagnostic decisions

A study published in Radiology found that radiologists and physicians who received local explanations from artificial intelligence (AI) systems performed better and made faster diagnoses than those who received global explanations. The researchers also found that AI advice was trusted more quickly when it provided local explanations.

SourceRadiological Society of North America·JournalRadiology·DateNov 19, 2024

Does AI improve doctors’ diagnoses? Study puts it to the test

A new study published in JAMA Network Open found that using Chat GPT Plus does not significantly improve the accuracy of doctors' diagnoses, but it outperformed conventional methods in certain cases. The researchers suggest that physicians need more training and experience with AI to capitalize on its potential.

SourceUniversity of Virginia Health System·DateNov 13, 2024
SAMSUNG T9 Portable SSD 2TB

SAMSUNG T9 Portable SSD 2TB transfers large imagery and model outputs quickly between field laptops, lab workstations, and secure archives.

Cachexia decoded: Why diagnosis matters in cancer survival

A new study from Japan confirms that definitive criteria for lower cachexia prevalence rates are linked to reduced survival rates in cancer patients. The study found that the diagnostic criteria used for cachexia detection can affect reported prevalence and survival outcomes, emphasizing the need for accurate diagnosis.

SourceShinshu University·JournalAdvances in Nutrition·TypeMeta-analysis·DateNov 6, 2024

Access to patient questionnaire improves spine MRI diagnosis

Radiologists who had access to questionnaire information during MRI interpretation achieved a near statistically perfect agreement with spine specialists. This improved diagnostic accuracy and confidence, avoiding diagnostic discrepancies between radiologists and spine specialists.

SourceRadiological Society of North America·JournalRadiology·DateOct 29, 2024

AI eye to eye with ophthalmologists in diagnosing corneal infections, study finds

A new study finds that AI-powered models exhibit similar levels of accuracy as ophthalmologists in identifying infectious keratitis, a leading cause of corneal blindness worldwide. The AI models displayed a sensitivity and specificity of 89.2% and 93.2%, respectively, matching the diagnostic accuracy of human experts.

SourceUniversity of Birmingham·JournalEClinicalMedicine·TypeMeta-analysis·DateOct 22, 2024

Glowing approach could aid carpal tunnel-related surgery

Researchers used fluorescein angiography to visualize neural blood flow in rats and rabbits with chronic nerve compression neuropathy, correlating findings with electrodiagnostic testing. The study showed promising results for the method's potential to improve diagnosis and treatment outcomes in carpal tunnel surgery.

SourceOsaka Metropolitan University·JournalNeurology International·TypeExperimental study·DateOct 10, 2024

ChatGPT shows human-level assessment of brain tumor MRI reports

A study by Osaka Metropolitan University found that ChatGPT's diagnostic performance for brain tumors was comparable to that of neuroradiologists, with an accuracy rate of 73%. The model's performance varied depending on the type of clinical report written, with higher accuracy when using reports from neuroradiologist writers.

SourceOsaka Metropolitan University·JournalEuropean Radiology·TypeObservational study·DateOct 1, 2024
Celestron NexStar 8SE Computerized Telescope

Celestron NexStar 8SE Computerized Telescope combines portable Schmidt-Cassegrain optics with GoTo pointing for outreach nights and field campaigns.

Widely used test for gestational diabetes misses 70% of cases

A Kobe University study found that the widely used casual blood glucose testing method for screening pregnant women with gestational diabetes mellitus misses 70% of cases. The researchers recommend using more reliable tests to prevent pregnancy complications and type II diabetes in mothers and children.

SourceKobe University·JournalJournal of Diabetes Investigation·TypeRandomized controlled/clinical trial·DateSep 18, 2024

WVU research shows smartwatch and clinical testing measures differ

A recent study by WVU researchers found that smartwatches and clinical testing measures for heart rate variability have significant differences. The study used simulation analysis to determine the validity of wearable devices' calculations, revealing that some methods produce wider ranges of error in measurement.

SourceWest Virginia University·JournalSports Medicine·DateAug 26, 2024
Aranet4 Home CO2 Monitor

Aranet4 Home CO2 Monitor tracks ventilation quality in labs, classrooms, and conference rooms with long battery life and clear e-ink readouts.

New imaging device improves ear disease diagnosis

A new imaging device that combines optical coherence tomography (OCT) with traditional otoscopy improves diagnostic capabilities for hearing clinics. The integrated device provides detailed views of the eardrum and middle ear, enabling more accurate diagnoses and treatment.

SourceSPIE--International Society for Optics and Photonics·JournalJournal of Biomedical Optics·DateAug 23, 2024

Let me take a look: AI could boost diagnostic imaging results

Researchers at Osaka Metropolitan University found that AI model GPT-4 outperformed a weaker version of the model and was on par with radiology residents in diagnosing musculoskeletal conditions. However, it struggled to match the accuracy of board-certified radiologists.

SourceOsaka Metropolitan University·JournalEuropean Radiology·TypeObservational study·DateAug 22, 2024

Separating the physical and psychosocial causes of pain

Researchers developed an approach to clearly separate physical and psychosocial components of pain, allowing for more targeted treatment. The new method combines measuring body signals, self-disclosure, and computerized evaluation to create two indices: one for physical component and one for psychosocial component.

SourceETH Zurich·JournalMed·DateAug 21, 2024

Leading AI models struggle to identify genetic conditions from patient-written descriptions

Researchers found large language models are more accurate with concise, textbook-like medical questions than patient-written summaries. The models achieved higher accuracy when using standardized language, but struggled with variable phrasing and format of patient write-ups.

SourceNIH/National Human Genome Research Institute·JournalAmerican Journal of Human Genetics·TypeExperimental study·DateAug 14, 2024
Kestrel 3000 Pocket Weather Meter

Kestrel 3000 Pocket Weather Meter measures wind, temperature, and humidity in real time for site assessments, aviation checks, and safety briefings.

Cognitive test is poor predictor of athletes’ concussion

A study by University of Washington School of Medicine found that a cognitive test is an inaccurate predictor of athletes' concussions. Instead, symptom reports were the most accurate indicator of concussion. The study involved 92 NCAA Division I athletes who sustained a concussion and their teammates as matched control subjects.

SourceUniversity of Washington School of Medicine/UW Medicine·JournalJAMA Network Open·TypeExperimental study·DateJun 11, 2024

First-of-its-kind test can predict dementia up to nine years before diagnosis

Researchers at Queen Mary University of London developed a predictive test using fMRI scans that detects changes in the brain's 'default mode network' to predict dementia. The test showed accurate predictions up to nine years before an official diagnosis, with greater than 80% accuracy and a two-year margin of error.

SourceQueen Mary University of London·JournalNature Mental Health·TypeObservational study·DateJun 6, 2024
AmScope B120C-5M Compound Microscope

AmScope B120C-5M Compound Microscope supports teaching labs and QA checks with LED illumination, mechanical stage, and included 5MP camera.

Statisticians call for rigour and transparency in the evaluation of diagnostic tests

The Royal Statistical Society has published new recommendations to improve the evaluation of diagnostic tests, including guidelines on study design, regulation, and transparency. The report aims to prevent future issues with diagnostic test evaluations, particularly those related to infectious diseases.

SourceUniversity of Birmingham·JournalJournal of the Royal Statistical Society Series A (Statistics in Society)·TypeData/statistical analysis·DateMay 30, 2024
GQ GMC-500Plus Geiger Counter

GQ GMC-500Plus Geiger Counter logs beta, gamma, and X-ray levels for environmental monitoring, training labs, and safety demonstrations.

Researchers leverage AI to develop early diagnostic test for ovarian cancer

Researchers have developed an AI-driven test that accurately diagnoses ovarian cancer in women clinically classified as normal, improving detection of early-stage disease. The test uses machine learning and blood metabolite information to assign a probability of disease presence or absence, offering a more clinically informative approach.

SourceGeorgia Institute of Technology·JournalGynecologic Oncology·TypeComputational simulation/modeling·DateJan 29, 2024
Sky-Watcher EQ6-R Pro Equatorial Mount

Sky-Watcher EQ6-R Pro Equatorial Mount provides precise tracking capacity for deep-sky imaging rigs during long astrophotography sessions.

Collective intelligence can help reduce medical misdiagnoses

Researchers developed a fully automated solution using knowledge engineering methods to aggregate independent diagnoses and increased diagnostic accuracy from 46% to 76%. The collective solution improved across various medical specialties, chief complaints, and diagnosticians' tenure levels.

SourceMax Planck Institute for Human Development·JournalProceedings of the National Academy of Sciences·TypeComputational simulation/modeling·DateNov 3, 2023

Skin cancer diagnoses using AI are as reliable as those made by medical experts

A study by Medical University of Vienna found that AI algorithms in smartphone applications perform well in diagnosing pigmented skin lesions, but are outperformed by doctors in treatment decisions. The 7-class algorithm showed equivalent diagnostic accuracy to experts, while the ISIC algorithm performed worse.

SourceMedical University of Vienna·JournalThe Lancet Digital Health·DateOct 23, 2023

Bioengineering breakthrough increases DNA detection sensitivity by 100 times

Researchers at the University of Massachusetts Amherst have developed a new method for DNA detection that is 100 times more sensitive than traditional methods. This breakthrough enables fast and accurate disease diagnosis, reducing wait times for lab processing from days to minutes.

SourceUniversity of Massachusetts Amherst·JournalProceedings of the National Academy of Sciences·TypeExperimental study·DateOct 3, 2023
Anker Laptop Power Bank 25,000mAh (Triple 100W USB-C)

Anker Laptop Power Bank 25,000mAh (Triple 100W USB-C) keeps Macs, tablets, and meters powered during extended observing runs and remote surveys.

ChatGPT performs as well as doctors for suggesting the most likely diagnoses in the emergency medicine department

A pilot study found that ChatGPT performed as well as doctors in suggesting the most likely diagnoses for patients being assessed in emergency medicine departments. The chatbot generated a list of likely diagnoses and suggested the most likely option, with a large overlap between its shortlist and those of doctors.

SourceEuropean Society for Emergency Medicine (EUSEM)·JournalAnnals of Emergency Medicine·TypeObservational study·DateSep 13, 2023

Diagnosing pediatric Crohn disease with radiomic and clinical data

A radiomic-based model using T2-weighted MRI data achieved high accuracy in diagnosing pediatric Crohn disease, outperforming expert radiologists. The model was ensembled with clinical data to further improve performance.

SourceAmerican Roentgen Ray Society·JournalAmerican Journal of Roentgenology·TypeObservational study·DateAug 3, 2023

One way to reduce medical errors? Connect doctors with other doctors

A new study found that information-sharing networks among clinicians improve patient care, especially for the worst-performing doctors. The researchers created an app that connected doctors in anonymous networks, showing their peers' diagnostic risk estimates and treatment recommendations.

SourceUniversity of Pennsylvania·JournalProceedings of the National Academy of Sciences·TypeExperimental study·DateJul 24, 2023
Meta Quest 3 512GB

Meta Quest 3 512GB enables immersive mission planning, terrain rehearsal, and interactive STEM demos with high-resolution mixed-reality experiences.

Making headway in precision therapeutics with novel fully organic bioelectronic device

Columbia University researchers have created a novel, fully organic bioelectronic device that can acquire and transmit neurophysiologic brain signals while providing power to the implanted device. The device features a tiny transistor and has demonstrated high electrical performance, long-term stability, and biocompatibility.

SourceColumbia University School of Engineering and Applied Science·JournalNature Materials·DateJul 10, 2023

High accuracy AI improves lung cancer detection

A study published in Radiology found that AI algorithms with high diagnostic accuracy improved radiologists' detection of lung cancers on chest X-rays. High-accuracy AI led to more frequent changes in reader determinations, suggesting increased human trust in AI.

SourceRadiological Society of North America·JournalRadiology·DateJun 27, 2023
Nikon Monarch 5 8x42 Binoculars

Nikon Monarch 5 8x42 Binoculars deliver bright, sharp views for wildlife surveys, eclipse chases, and quick star-field scans at dark sites.

New Journal of Pharmaceutical Analysis articles showcase innovative approaches for diagnostics and drug screening and evaluation

Recent studies in the New Journal of Pharmaceutical Analysis feature novel diagnostic tools, RNA sequencing-based workflows, and mechanical property evaluations to enhance cancer and cardiovascular disease treatment outcomes. These innovations aim to improve the therapeutic effect of drugs and promote personalized medicine.

SourceCactus Communications·JournalJournal of Pharmaceutical Analysis·TypeExperimental study·DateJun 21, 2023

New method reveals bacterial reaction to antibiotics in five minutes

A new method called 5PSeq has been developed to quickly assess bacterial response to antibiotics, with potential implications for treating antibiotic-resistant infections. The method measures mRNA translation and decay, revealing how bacteria interact with environmental factors and stressors.

SourceKarolinska Institutet·JournalNature Microbiology·TypeExperimental study·DateMay 22, 2023

How old are your bones?

Researchers developed a 'Skeletal Age' metric to assess impact of fractures on mortality, revealing a loss of one to seven years of life depending on gender, age, and bone site. The online calculator measures bone fragility to help doctors and patients understand fracture risks.

SourceUniversity of Technology Sydney·JournaleLife·TypeData/statistical analysis·DateMay 15, 2023

New breathalyzer for disease sniffs out COVID in real-time, could be used to detect cancer, lung disease

A new laser-based breathalyzer using artificial intelligence can detect COVID-19 in real-time with excellent accuracy. The technology, powered by frequency comb spectroscopy and machine learning, analyzes the unique chemical fingerprint of each breath sample to identify specific health conditions.

SourceUniversity of Colorado at Boulder·JournalJournal of Breath Research·TypeExperimental study·DateMay 10, 2023
Fluke 87V Industrial Digital Multimeter

Fluke 87V Industrial Digital Multimeter is a trusted meter for precise measurements during instrument integration, repairs, and field diagnostics.

Single-molecule valve: a breakthrough in nanoscale control

Scientists have successfully regulated the flow of single molecules in a solution by opening and closing a nanovalve, which could revolutionize chemical and biochemical synthesis. This technology has the potential to detect pathogens with high sensitivity and create new materials for various industries.

SourceOsaka Metropolitan University·JournalNano Letters·TypeExperimental study·DateMay 2, 2023

Sugar molecule in blood can predict Alzheimer’s disease

Researchers at Karolinska Institutet have discovered that a type of sugar molecule in blood is associated with the level of tau protein, a critical factor in severe dementia. Measuring blood glycan levels can predict Alzheimer's disease risk to 80% accuracy, almost a decade before symptoms appear.

SourceKarolinska Institutet·JournalAlzheimer s & Dementia·DateApr 12, 2023

New study shows the potential of machine learning in the early identification of people with inflammatory arthritis

A Swansea University study reveals the potential of machine learning in identifying Ankylosing Spondylitis (AS) patients, reducing diagnosis delays from eight years to earlier. The research uses a national data repository to develop a predictive model for AS detection, empowering GPs to refer patients more efficiently.

SourceSwansea University·JournalPLOS ONE·TypeData/statistical analysis·DateApr 5, 2023

Urine gene test can predict bladder cancer years before diagnosis

A new urine gene test can detect genetic mutations in urine that predict bladder cancer up to 12 years in advance of clinical symptoms. The test was trialled on over 50,000 participants and showed promising results, suggesting its potential for early detection and reduced unnecessary invasive procedures.

SourceEuropean Association of Urology·DateMar 10, 2023
Garmin GPSMAP 67i with inReach

Garmin GPSMAP 67i with inReach provides rugged GNSS navigation, satellite messaging, and SOS for backcountry geology and climate field teams.

New testing approach diagnoses COVID-19 with near-perfect accuracy

A new method developed by Flatiron Institute researchers can diagnose COVID-19 with near-perfect accuracy, even in asymptomatic patients. The technique monitors the body's molecular response to a viral attack and measures mRNA molecules to identify an immune response.

SourceSimons Foundation·JournalCell Reports Methods·DateFeb 27, 2023

Aston University researchers discover more accurate way of checking blood flow in type 2 diabetes patients

Researchers at Aston University have discovered a new approach to process LDF light signals, allowing for more precise measurement of blood flow in specific areas of the vascular bed. This innovation has shown significant improvement in diagnostic accuracy for detecting microvascular changes in patients with type 2 diabetes and age-spe...

SourceAston University·JournalIEEE Transactions on Biomedical Engineering·TypeRandomized controlled/clinical trial·DateFeb 8, 2023