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AI Model Analyzes Patient Data to Diagnose Multiple Sclerosis With 90% Accuracy

Magnetically Navigable Microparticles Enable Targeted Drug Delivery

AI-Powered Algorithm Automates Analysis of Coronary Stents After Implantation

New Stroke Risk Scoring System to Help Avoid Unnecessary Surgeries

Wearable Device Tracks Individual Cells in Bloodstream in Real Time

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AI Tool Predicts Relapse of Pediatric Brain Cancer from Brain MRI Scans

Image: An AI tool has shown tremendous promise for predicting relapse of pediatric brain cancer (Photo courtesy of 123RF)

AI-assisted analysis of brain scans may help improve the care of pediatric gliomas that are prone to relapse in certain cases.
Read more
30 Apr 2025

Novel Radiolabeled Antibody Improves Diagnosis and Treatment of Solid Tumors

23 Apr 2025

AI-Powered Lung Ultrasound Outperforms Human Experts in Tuberculosis Diagnosis

21 Apr 2025

AI Identifies Heart Valve Disease from Common Imaging Test

18 Apr 2025

Novel Imaging Method Enables Early Diagnosis and Treatment Monitoring of Type 2 Diabetes

16 Apr 2025

AI Tool Tracks Effectiveness of Multiple Sclerosis Treatments Using Brain MRI Scans

09 Apr 2025

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In Other News

Image: A 4mm square diamond radiation detector (Photo courtesy of Orbray)

World's Largest Class Single Crystal Diamond Radiation Detector Opens New Possibilities for Diagnostic Imaging

Diamonds possess ideal physical properties for radiation detection, such as exceptional thermal and chemical stability along with a quick response time. Read more
09 Apr 2025 | Radiography

Image: Artist’s impression of the new ultrasound technique, called nonlinear sound sheet microscopy (Photo courtesy of Maayan Harel/Maresca Lab)

Ultrasound-Based Microscopy Technique to Help Diagnose Small Vessel Diseases

Clinical ultrasound, commonly used in pregnancy scans, provides real-time images of body structures. It is one of the most widely used imaging techniques in medicine, but until recently, it had little application in imaging microscopic structures such as individual cells. Read more
07 Apr 2025 | Ultrasound

Image: The new type of Sonogenetic EchoBack-CAR T cell (Photo courtesy of Longwei Liu/USC)

Smart Ultrasound-Activated Immune Cells Destroy Cancer Cells for Extended Periods

Chimeric antigen receptor (CAR) T-cell therapy has emerged as a highly promising cancer treatment, especially for bloodborne cancers like leukemia. Read more
04 Apr 2025 | Ultrasound

Image: The LungVision system has received regulatory approval from the TGA in Australia (Photo courtesy of Body Vision Medical)

AI Model Significantly Enhances Low-Dose CT Capabilities

Lung cancer remains one of the most challenging diseases, making early diagnosis vital for effective treatment. Read more
28 Mar 2025 | General/Advanced Imaging

Image: Oloid-shaped magnetic endoscope (Photo courtesy of STORM Lab/University of Leeds)

Tiny Magnetic Robot Takes 3D Scans from Deep Within Body

Colorectal cancer ranks as one of the leading causes of cancer-related mortality worldwide. However, when detected early, it is highly treatable. Read more
28 Mar 2025 | Ultrasound

Image: A study has linked increased use of chest X-rays to earlier lung cancer diagnosis and improved survival (Photo courtesy of 123RF)

Higher Chest X-Ray Usage Catches Lung Cancer Earlier and Improves Survival

Lung cancer continues to be the leading cause of cancer-related deaths worldwide. While advanced technologies like CT scanners play a crucial role in detecting lung cancer, more accessible and affordable tools, such as X-rays, are often easier for patients to obtain. Read more
26 Mar 2025 | Radiography

Image: microUS-guided biopsy can identify prostate cancer as effectively as MRI-guided biopsy (Photo courtesy of 123RF)

High Resolution Ultrasound Speeds Up Prostate Cancer Diagnosis

Each year, approximately one million prostate cancer biopsies are conducted across Europe, with similar numbers in the USA and around 100,000 in Canada. Read more
26 Mar 2025 | Ultrasound

Image: Comparison showing 3T and 7T scans for the same participant (Photo courtesy of P Simon Jones/University of Cambridge)

Ultra-Powerful MRI Scans Enable Life-Changing Surgery in Treatment-Resistant Epileptic Patients

Approximately 360,000 individuals in the UK suffer from focal epilepsy, a condition in which seizures spread from one part of the brain. Read more
24 Mar 2025 | MRI

Image: The deep learning model predicts cardiovascular risk based on mammogram images (Photo courtesy of 123RF)

AI-Powered Mammograms Predict Cardiovascular Risk

The U.S. Centers for Disease Control and Prevention recommends that women in middle age and older undergo a mammogram, which is an X-ray of the breast, every one or two years to screen for breast cancer. Read more
21 Mar 2025 | Radiography

Image: The automated MRI processing and machine learning software features a noninvasive biomarker technique (Photo courtesy of University of Florida)

AI-Powered MRI Technology Improves Parkinson’s Diagnoses

Current research shows that the accuracy of diagnosing Parkinson’s disease typically ranges from 55% to 78% within the first five years of assessment. Read more
20 Mar 2025 | MRI

Image: Examples of chest radiograph interpretations with and without AI–generated reports (Photo courtesy of Radiology, DOI: 10.1148/radiol.241646)

Generative AI Model Significantly Reduces Chest X-Ray Reading Time

The prompt and accurate interpretation of radiologic images is critical due to its significant impact on patient outcomes, as errors in interpretation can lead to changes in clinical management. Read more
20 Mar 2025 | Radiography

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AI-Powered Mammography Screening Boosts Cancer Detection in Single-Reader Settings

A new study has revealed that an artificial intelligence (AI)-powered solution significantly improves cancer detection in single-reader mammography settings without increasing recall rates, offering a... Read more

Image: Phase contrast and color X-ray imaging system used in the research (Photo courtesy of University of Houston)

Photon Counting Detectors Promise Fast Color X-Ray Images

For many years, healthcare professionals have depended on traditional 2D X-rays to diagnose common bone fractures, though small fractures or soft tissue damage, such as cancers, can often be missed.... Read more

Image: Images in a 67-year-old woman with a prior history of breast cancer who underwent combined mammography and MRI screening (Photo courtesy of Radiology, DOI:10.1148/radiol.233067)

AI Can Flag Mammograms for Supplemental MRI

To achieve the highest detection accuracy, international guidelines recommend combining mammography and MRI screening for women with a lifetime breast cancer risk of 20% or higher based on family history.... Read more

3D CT Imaging from Single X-Ray Projection Reduces Radiation Exposure

Computed tomography (CT) has long been an essential tool in modern imaging, offering detailed 3D views of the human body and other materials. However, traditional CT scans require hundreds of X-ray projections... Read more

Biparametric MRI Combined with AI Enhances Detection of Clinically Significant Prostate Cancer

Artificial intelligence (AI) technologies are transforming the way medical images are analyzed, offering unprecedented capabilities in quantitatively extracting features that go beyond traditional visual... Read more

Image: Composite samples of the MRI images that AStrID will draw on to advance research that promises to optimize stroke rehabilitation (Photo courtesy of GU School of Medicine)

First-Of-Its-Kind AI-Driven Brain Imaging Platform to Better Guide Stroke Treatment Options

Each year, approximately 800,000 people in the U.S. experience strokes, with marginalized and minoritized groups being disproportionately affected. Strokes vary in terms of size and location within the... Read more

Image: Researchers have come up with a better way to compare MRI images taken at different institutions (Photo courtesy of Adobe Stock)

New Model Improves Comparison of MRIs Taken at Different Institutions

Magnetic resonance imaging (MRI) plays a crucial role in medicine by offering detailed views of the internal structures of the body and providing valuable insights into various pathologies.... Read more

Groundbreaking New Scanner Sees 'Previously Undetectable' Cancer Spread

Currently, approximately 15% of women require a second surgery after a lumpectomy because the edges of the tumor may still contain cancerous cells. Medical imaging plays a crucial role in assisting physicians... Read more

World's First Wireless, Handheld, Whole-Body Ultrasound with Single PZT Transducer Makes Imaging More Accessible

Ultrasound devices play a vital role in the medical field, routinely used to examine the body's internal tissues and structures. While advancements have steadily improved ultrasound image quality and processing... Read more

Image: The model trained on echocardiography, can identify liver disease in people without symptoms (Photo courtesy of 123RF)

Artificial Intelligence Detects Undiagnosed Liver Disease from Echocardiograms

Echocardiography is a diagnostic procedure that uses ultrasound to visualize the heart and its associated structures. This imaging test is commonly used as an early screening method when doctors suspect... Read more

Ultrasound Imaging Non-Invasively Tracks Tumor Response to Radiation and Immunotherapy

While immunotherapy holds promise in the fight against triple-negative breast cancer, many patients fail to respond to current treatments. A major challenge has been predicting and monitoring how individual... Read more

AI Improves Detection of Congenital Heart Defects on Routine Prenatal Ultrasounds

Congenital heart defects, which are abnormalities of the heart present at birth, are the most common type of birth defect. Approximately 1 in 4 babies born with a heart defect will have a condition severe... Read more

Novel Radiotracer Identifies Biomarker for Triple-Negative Breast Cancer

Triple-negative breast cancer (TNBC), which represents 15-20% of all breast cancer cases, is one of the most aggressive subtypes, with a five-year survival rate of about 40%. Due to its significant heterogeneity... Read more

Image: A repurposed ALS drug has become an imaging probe to help diagnose neurodegeneration (Photo courtesy of St. Jude Children’s Research Hospital)

Innovative PET Imaging Technique to Help Diagnose Neurodegeneration

Neurodegenerative diseases, such as amyotrophic lateral sclerosis (ALS) and Alzheimer’s disease, are often diagnosed only after physical symptoms appear, by which time treatment may no longer be effective.... Read more

New Molecular Imaging Test to Improve Lung Cancer Diagnosis

Lung cancer continues to be one of the leading causes of cancer-related deaths, primarily because it often goes undetected until it reaches more advanced and aggressive stages. Panitumumab, a humanized... Read more

Novel PET Technique Visualizes Spinal Cord Injuries to Predict Recovery

Each year, around 18,000 individuals in the United States experience spinal cord injuries, leading to severe mobility loss that often results in a lifelong battle to regain independence and improve quality of life.... Read more

Ultra-Low Dose CT Aids Pneumonia Diagnosis in Immunocompromised Patients

Lung infections can be life-threatening for patients with weakened immune systems, making timely diagnosis crucial. While CT scans are considered the gold standard for detecting pneumonia, repeated scans... Read more

Image: Histologically confirmed lung cancer cases detected at immediate referral after baseline scan or 3-month short-term follow-up (Photo courtesy of DOI:10.1016/j.ejca.2025.115324)

AI Reduces CT Lung Cancer Screening Workload by Almost 80%

Lung cancer impacts over 48,000 individuals in the UK annually, and early detection is key to improving survival rates. The UK Lung Cancer Screening (UKLS) trial has already shown that low-dose CT (LDCT)... Read more

Image: Whole-brain PACT system and in vivo morphological imaging (Photo courtesy of Advanced Science)

Cutting-Edge Technology Combines Light and Sound for Real-Time Stroke Monitoring

Stroke is the second leading cause of death globally, claiming millions of lives each year. Ischemic stroke, in particular, occurs when a blood vessel that supplies blood to the brain becomes blocked.... Read more

AI System Detects Subtle Changes in Series of Medical Images Over Time

Traditional approaches for analyzing longitudinal image datasets typically require significant customization and extensive pre-processing. For instance, in studies of the brain, researchers often begin... Read more

New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible

Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more

Global AI in Medical Diagnostics Market to Be Driven by Demand for Image Recognition in Radiology

The global artificial intelligence (AI) in medical diagnostics market is expanding with early disease detection being one of its key applications and image recognition becoming a compelling consumer proposition... Read more

AI-Based Mammography Triage Software Helps Dramatically Improve Interpretation Process

An artificial intelligence (AI)-based mammography triage software is helping dramatically improve the interpretation process for healthcare providers. In a new study, researchers at the Scripps Green... Read more

Artificial Intelligence (AI) Program Accurately Predicts Lung Cancer Risk from CT Images

An artificial intelligence (AI) program accurately predicts the risk that lung nodules detected on screening CT will become cancerous, according to a study published in the journal Radiology.... Read more

GE HealthCare and NVIDIA Collaboration to Reimagine Diagnostic Imaging

GE HealthCare (Chicago, IL, USA) has entered into a collaboration with NVIDIA (Santa Clara, CA, USA), expanding the existing relationship between the two companies to focus on pioneering innovation in... Read more

Image: The patient-specific 3D-printed phantoms usher in a new era for medical imaging research (Photo courtesy of Siemens Healthineers)

Patient-Specific 3D-Printed Phantoms Transform CT Imaging

New research has highlighted how anatomically precise, patient-specific 3D-printed phantoms are proving to be scalable, cost-effective, and efficient tools in the development of new CT scan algorithms... Read more

Siemens and Sectra Collaborate on Enhancing Radiology Workflows

Siemens Healthineers (Forchheim, Germany) and Sectra (Linköping, Sweden) have entered into a collaboration aimed at enhancing radiologists' diagnostic capabilities and, in turn, improving patient care... Read more

Image: Virtual colonoscopy (CT colonography) is an approved option for screening for colorectal cancer in the US (Photo courtesy of Shtutterstock)

Bracco Diagnostics and ColoWatch Partner to Expand Availability CRC Screening Tests Using Virtual Colonoscopy

Over the last 25 years, virtual colonoscopy has been proven to be a highly accurate, safe, convenient, and cost-effective method of colorectal cancer (CRC) prevention and screening. It can reliably find... Read more

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48 (221.96769714355): SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets AS dp WHERE dp.id = 294804443 LIMIT 1

49 (44.822692871094): SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets AS dp WHERE dp.id = 294804443 LIMIT 1

50 (146.15058898926): SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets AS dp WHERE dp.id = 294804428 LIMIT 1

51 (74.148178100586): SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets AS dp WHERE dp.id = 294804428 LIMIT 1

52 (151.8726348877): SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets AS dp WHERE dp.id = 294804411 LIMIT 1

53 (38.862228393555): SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets AS dp WHERE dp.id = 294804411 LIMIT 1

54 (191.92695617676): SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets AS dp WHERE dp.id = 294804396 LIMIT 1

55 (75.817108154297): SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets AS dp WHERE dp.id = 294804396 LIMIT 1

56 (272.98927307129): SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets AS dp WHERE dp.id = 294804387 LIMIT 1

57 (36.954879760742): SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets AS dp WHERE dp.id = 294804387 LIMIT 1

58 (352.85949707031): SELECT description FROM jos_dp_categories WHERE id=10 LIMIT 1

59 (48.87580871582): SELECT a.* FROM jos_components AS a WHERE ( a.admin_menu_link = 'option=com_syndicate' OR a.admin_menu_link = 'option=com_syndicate&hidemainmenu=1' ) AND a.option = 'com_syndicate'

60 (61.988830566406): SELECT id,name,title FROM jos_deeppockets WHERE cat=10 AND TYPE='file_folder' AND published=1 AND id != 294743300 AND id != 294743301 AND id != 294743302 AND id != 294743303 AND id != 294743304 AND id != 294743305 AND id != 294743306 AND id != 294743307 AND id != 294743308 AND id != 294743309 AND id != 294743310 AND metakey != 'aacc' ORDER BY `ordering`

61 (128.98445129395): select cover from jos_number where journalid in (5) and cover is not null order by left(issue,2)+right(issue,2)*12 desc limit 1

62 (72.002410888672): select jos_twitters.link from jos_twitters where cat=10

63 (41.007995605469): select jos_facebook.link from jos_facebook where cat=10

64 (41.961669921875): select jos_google_plus.link from jos_google_plus where cat=10

65 (36.001205444336): select jos_linkedin.link from jos_linkedin where cat=10

66 (84.161758422852): SELECT id,name,title FROM jos_deeppockets WHERE cat=10 AND TYPE='file_folder' AND published=1 AND id != 294743300 AND id != 294743301 AND id != 294743302 AND id != 294743303 AND id != 294743304 AND id != 294743305 AND id != 294743306 AND id != 294743307 AND id != 294743308 AND id != 294743309 AND id != 294743310 AND metakey != 'aacc' ORDER BY `ordering`

67 (70.095062255859): SELECT show_live FROM jos_com_show_setting LIMIT 1

68 (40.054321289062): SELECT show_live FROM jos_com_show_setting LIMIT 1

69 (40.054321289062): SELECT show_live FROM jos_com_show_setting LIMIT 1

70 (34.093856811523): SELECT show_live FROM jos_com_show_setting LIMIT 1

71 (37.908554077148): SELECT show_live FROM jos_com_show_setting LIMIT 1

72 (34.093856811523): SELECT show_live FROM jos_com_show_setting LIMIT 1

73 (35.762786865234): SELECT show_live FROM jos_com_show_setting LIMIT 1

74 (61.988830566406): SELECT show_live FROM jos_com_show_setting LIMIT 1

75 (46.014785766602): SELECT show_live FROM jos_com_show_setting LIMIT 1

76 (36.001205444336): SELECT show_live FROM jos_com_show_setting LIMIT 1

77 (35.04753112793): SELECT show_live FROM jos_com_show_setting LIMIT 1

78 (33.855438232422): SELECT show_live FROM jos_com_show_setting LIMIT 1

79 (45.061111450195): SELECT show_live FROM jos_com_show_setting LIMIT 1

80 (33.855438232422): SELECT show_live FROM jos_com_show_setting LIMIT 1

81 (77.009201049805): SELECT id,name,title FROM jos_deeppockets WHERE cat=10 AND TYPE='file_folder' AND published=1 AND id != 294743300 AND id != 294743301 AND id != 294743302 AND id != 294743303 AND id != 294743304 AND id != 294743305 AND id != 294743306 AND id != 294743307 AND id != 294743308 AND id != 294743309 AND id != 294743310 AND metakey != 'aacc' ORDER BY `ordering`

82 (78.201293945312): SELECT show_live FROM jos_com_show_setting LIMIT 1

83 (41.007995605469): SELECT show_live FROM jos_com_show_setting LIMIT 1

84 (37.908554077148): SELECT show_live FROM jos_com_show_setting LIMIT 1

85 (35.04753112793): SELECT show_live FROM jos_com_show_setting LIMIT 1

86 (37.193298339844): SELECT show_live FROM jos_com_show_setting LIMIT 1

87 (34.809112548828): SELECT show_live FROM jos_com_show_setting LIMIT 1

88 (36.001205444336): SELECT show_live FROM jos_com_show_setting LIMIT 1

89 (34.093856811523): SELECT show_live FROM jos_com_show_setting LIMIT 1

90 (62.942504882812): SELECT show_live FROM jos_com_show_setting LIMIT 1

91 (36.001205444336): SELECT show_live FROM jos_com_show_setting LIMIT 1

92 (36.001205444336): SELECT show_live FROM jos_com_show_setting LIMIT 1

93 (35.04753112793): SELECT show_live FROM jos_com_show_setting LIMIT 1

94 (35.04753112793): SELECT show_live FROM jos_com_show_setting LIMIT 1

95 (34.809112548828): SELECT show_live FROM jos_com_show_setting LIMIT 1

96 (386.95335388184): SELECT dp.*, ch.title as channel, exp.name as author_name, exp.specialization as author_specialization, exp.images as author_photo FROM jos_deeppockets as dp LEFT JOIN jos_experts as exp ON exp.id = dp.author LEFT JOIN jos_deeppockets as ch ON dp.fid = ch.id WHERE 1=1 AND dp.id=35 AND (dp.type='deeppockets_item' OR dp.type='deeppockets_item_link') AND dp.published='1' LIMIT 1

97 (417.94776916504): SELECT dp.*, ch.title as channel, exp.name as author_name, exp.specialization as author_specialization, exp.images as author_photo FROM jos_deeppockets_archive as dp LEFT JOIN jos_experts as exp ON exp.id = dp.author LEFT JOIN jos_deeppockets as ch ON dp.fid = ch.id WHERE 1=1 AND dp.id=35 AND (dp.type='deeppockets_item' OR dp.type='deeppockets_item_link') AND dp.published='1' LIMIT 1

98 (810.86158752441): SELECT dp.name, dp.id, dp2.name as channel, ex.name as author_name, ex.specialization, ex.images FROM jos_deeppockets as dp LEFT JOIN jos_experts as ex ON ex.id = dp.author LEFT JOIN jos_deeppockets as dp2 ON dp2.id = dp.fid WHERE dp.author != 0 AND dp.cat = 10 AND dp.published = 1 AND ( (dp.fid = 294743300) OR (dp.fid = 294743301) OR (dp.fid = 294743302) OR (dp.fid = 294743303) OR (dp.fid = 294743304) OR (dp.fid = 294743305) OR (dp.fid = 294743306) OR (dp.fid = 294743307) OR (dp.fid = 294743308) OR (dp.fid = 294743309) OR (dp.fid = 294743310) ) ORDER BY RAND() LIMIT 1

99 (518.0835723877): SELECT dp.name, dp.id, dp2.name as channel, ex.name as author_name, ex.specialization, ex.images FROM jos_deeppockets as dp LEFT JOIN jos_experts as ex ON ex.id = dp.author LEFT JOIN jos_deeppockets as dp2 ON dp2.id = dp.fid WHERE dp.author != 0 AND dp.cat = 10 AND dp.published = 1 AND ( (dp.fid = 294743300) OR (dp.fid = 294743301) OR (dp.fid = 294743302) OR (dp.fid = 294743303) OR (dp.fid = 294743304) OR (dp.fid = 294743305) OR (dp.fid = 294743306) OR (dp.fid = 294743307) OR (dp.fid = 294743308) OR (dp.fid = 294743309) OR (dp.fid = 294743310) ) ORDER BY RAND() LIMIT 1

100 (247.00164794922): SELECT * FROM trending_articles WHERE `journal_id` = 10 AND `timestamp` <= NOW() + INTERVAL 7 DAY ORDER BY `order`

101 (!!!!! 28361.082077026): SELECT * FROM jos_deeppockets WHERE jos_deeppockets.cat = 10 AND jos_deeppockets.type = 'deeppockets_item' AND jos_deeppockets.published = 1 AND jos_deeppockets.created + INTERVAL 14 DAY >= NOW() ORDER BY jos_deeppockets.hits DESC LIMIT 7

102 (!!!!! 10278.940200806): ( SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets AS dp WHERE dp.video != '' AND dp.video_source != '' AND dp.cat = 10 AND dp.published = 1 AND dp.type != 'deeppockets_item_link' AND dp.id NOT IN (294804816,294804739,294804722,294804707,294804668,294804602) ORDER BY created DESC LIMIT 3 ) UNION ( SELECT dpa.id, dpa.name, dpa.title, dpa.video, dpa.video_source, dpa.created FROM jos_deeppockets_archive AS dpa WHERE dpa.video != '' AND dpa.video_source != '' AND dpa.cat = 10 AND dpa.published = 1 AND dpa.type != 'deeppockets_item_link' AND dpa.id NOT IN (294804816,294804739,294804722,294804707,294804668,294804602) ORDER BY created DESC LIMIT 3 ) ORDER BY created DESC LIMIT 3

103 (109.91096496582): ( SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets AS dp WHERE dp.video != '' AND dp.video_source != '' AND dp.cat = 10 AND dp.published = 1 AND dp.type != 'deeppockets_item_link' AND dp.id NOT IN (294804816,294804739,294804722,294804707,294804668,294804602) ORDER BY created DESC LIMIT 3 ) UNION ( SELECT dpa.id, dpa.name, dpa.title, dpa.video, dpa.video_source, dpa.created FROM jos_deeppockets_archive AS dpa WHERE dpa.video != '' AND dpa.video_source != '' AND dpa.cat = 10 AND dpa.published = 1 AND dpa.type != 'deeppockets_item_link' AND dpa.id NOT IN (294804816,294804739,294804722,294804707,294804668,294804602) ORDER BY created DESC LIMIT 3 ) ORDER BY created DESC LIMIT 3

104 (100.13580322266): SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets AS dp WHERE dp.id = 294803337 LIMIT 1

105 (44.107437133789): SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets AS dp WHERE dp.id = 294803337 LIMIT 1

106 (109.91096496582): SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets AS dp WHERE dp.id = 294803276 LIMIT 1

107 (44.822692871094): SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets AS dp WHERE dp.id = 294803276 LIMIT 1

108 (36.001205444336): SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets_archive AS dp WHERE dp.id = 294803276 LIMIT 1

109 (35.04753112793): SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets_archive AS dp WHERE dp.id = 294803276 LIMIT 1

110 (61.988830566406): SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets AS dp WHERE dp.id = 294802958 LIMIT 1

111 (44.107437133789): SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets AS dp WHERE dp.id = 294802958 LIMIT 1

112 (943.89915466309): SELECT *, DATE_FORMAT(publish_up,'%d %b %Y') AS date_publish_up, DATE_FORMAT(publish_down,'%d %b %Y') AS date_publish_down FROM jos_events WHERE state=1 AND publish_up > NOW() AND catid IN (0,110) ORDER BY publish_up ASC LIMIT 3

113 (715.01731872559): SELECT *, DATE_FORMAT(publish_up,'%d %b %Y') AS date_publish_up, DATE_FORMAT(publish_down,'%d %b %Y') AS date_publish_down FROM jos_events WHERE state=1 AND publish_up > NOW() AND catid IN (0,110) ORDER BY publish_up ASC LIMIT 3

114 (!!!!! 9741.0678863525): TRUNCATE TABLE jos_trademed_module

115 (!!!!! 1651.0486602783): SELECT jos_item.* FROM jos_item INNER JOIN jos_number ON jos_item.numberID=jos_number.id WHERE 1=1 AND (jos_item.imgMini<>'') AND jos_item.type='L' AND jos_item.numberID= ( SELECT jos_number.id FROM jos_number WHERE jos_number.journalID IN (10) and jos_number.id in (select distinct jos_number.id from jos_number join jos_item on jos_item.numberid=jos_number.id where jos_item.type='P') ORDER BY (CONVERT(SUBSTRING(issue,1,2),SIGNED) + (CONVERT(SUBSTRING(issue,3,2),SIGNED)*100)) DESC LIMIT 0,1 ) ORDER BY RAND() DESC LIMIT 6

116 (58.889389038086): select distinct links.* from jos_textlinks links join jos_textlinks_placement placement on links.id=placement.link_id where journal_id=(10) and (channel_id=0 or channel_id is null)

117 (44.107437133789): select distinct links.* from jos_textlinks links join jos_textlinks_placement placement on links.id=placement.link_id where journal_id=(10) and (channel_id=0 or channel_id is null)

118 (58.889389038086): SELECT livesite FROM jos_dp_categories WHERE id=10 AND published='1' LIMIT 1

119 (71.048736572266): select jos_twitters.link from jos_twitters where cat=10

120 (43.153762817383): select jos_facebook.link from jos_facebook where cat=10

121 (41.007995605469): select jos_google_plus.link from jos_google_plus where cat=10

122 (38.14697265625): select jos_linkedin.link from jos_linkedin where cat=10

123 (381.9465637207): update jos_bannersmanager_banner set impmade=impmade+1 where id in(14202,14203)

124 (!!!!! 1051.9027709961): insert into jos_banners_delta values (14202,'2025-07-16 17:43:31','18.97.14.89','view'),(14203,'2025-07-16 17:43:31','18.97.14.89','view')

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