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Deep-Learning Model Predicts Arrhythmia 30 Minutes before Onset

Hydrogel-Based Miniaturized Electric Generators to Power Biomedical Devices

Custom 3D-Printed Orthopedic Implants Transform Joint Replacement Surgery

Wearable Technology Monitors and Analyzes Surgeons' Posture during Long Surgical Procedures

Cutting-Edge Imaging Platform Detects Residual Breast Cancer Missed During Lumpectomy Surgery

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Deep Learning Advances Super-Resolution Ultrasound Imaging

Image: The ultrasound image of a region of the brain showing strong microbubble activity from a nerve stimulation test (Photo courtesy of University of Illinois Urbana-Champaign)

Researchers have introduced a novel approach to enhance the practicality of ultrasound localization microscopy for clinical use by integrating advanced computational techniques in the post-processing pipeline.
Read more
23 Apr 2024

Novel Breast Imaging System Proves As Effective As Mammography

22 Apr 2024

PET/MRI Improves Diagnostic Accuracy for Prostate Cancer Patients

19 Apr 2024

Next Generation MR-Guided Focused Ultrasound Ushers In Future of Incisionless Neurosurgery

18 Apr 2024

New SPECT/CT Technique Could Change Imaging Practices and Increase Patient Access

18 Apr 2024

Novel Ultrasound-Launched Targeted Nanoparticle Eliminates Biofilm and Bacterial Infection

17 Apr 2024

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Image: Shorter scan to diagnose prostate cancer can increase availability and reduce cost (Photo courtesy of 123RF)

Two-Part MRI Scan Detects Prostate Cancer More Quickly without Compromising Diagnostic Quality

Prostate cancer ranks as the most prevalent cancer among men. Over the last decade, the introduction of MRI scans has significantly transformed the diagnosis process, marking the most substantial advancement in 30 years. Read more
16 Apr 2024 | MRI

Image: The AI-guided ultrasound system can speed up the diagnosis from several hours to as little as 15 minutes (Photo courtesy of Clarius Mobile Health)

AI-Guided Ultrasound System Enables Rapid Assessments of DVT

Deep vein thrombosis (DVT), a condition in which a blood clot is usually found in the leg, is a major cause of preventable hospital death in Europe and the United States. Read more
15 Apr 2024 | Ultrasound

Image: The Tyche machine-learning model could help capture crucial information. (Photo courtesy of 123RF)

New AI Method Captures Uncertainty in Medical Images

In the field of biomedicine, segmentation is the process of annotating pixels from an important structure in medical images, such as organs or cells. Read more
12 Apr 2024 | General/Advanced Imaging

Image: AI-assisted breast-cancer screening may reduce unnecessary testing (Photo courtesy of WUSTL)

AI Assistance Improves Breast-Cancer Screening by Reducing False Positives

Radiologists typically detect one case of cancer for every 200 mammograms reviewed. However, these evaluations often result in false positives, leading to unnecessary patient recalls for additional testing, which not only causes patient anxiety but also consumes valuable medical resources. Read more
11 Apr 2024 | Radiography

Image: CT coronary angiography for diagnosing coronary artery disease offers advantages over other diagnostic tests (Photo courtesy of 123RF)

CT Coronary Angiography Reduces Need for Invasive Tests to Diagnose Coronary Artery Disease

Coronary artery disease (CAD), one of the leading causes of death worldwide, involves the narrowing of coronary arteries due to atherosclerosis, resulting in insufficient blood flow to the heart muscle. Read more
09 Apr 2024 | General/Advanced Imaging

Image: The QA protocol will ensure guided focused ultrasound devices and treatment is safe and function consistently (Photo courtesy of Chen Lab)

Focused Ultrasound Technique Gets Quality Assurance Protocol

In recent years, researchers have harnessed the potential of focused ultrasound (FUS) in combination with microbubbles to temporarily open the blood-brain barrier (BBB), a method that significantly enhances the delivery of therapeutic agents directly to brain tissues or facilitates the extraction of biomarkers for various brain conditions. Read more
08 Apr 2024 | Ultrasound

$Image: An amyloid blood test can help identify patients who may forgo imaging evaluation for Alzheimer\'s disease (Photo courtesy of 123RF)$

Novel Blood Test Could Reduce Need for PET Imaging of Patients with Alzheimer’s

Alzheimer's disease (AD), a condition marked by cognitive decline and the presence of beta-amyloid (Aβ) plaques and neurofibrillary tangles in the brain, poses diagnostic challenges. Read more
05 Apr 2024 | General/Advanced Imaging

Image: The Vscan Air SL wireless handheld ultrasound system now comes with Caption AI (Photo courtesy of GE HealthCare)

AI-Guided Handheld Ultrasound System Helps Capture Diagnostic-Quality Cardiac Images

Cardiovascular disease (CVD) is the leading cause of death across the world, with its prevalence set to rise further due to increasing life expectancy and population growth. Read more
05 Apr 2024 | Ultrasound

Image: The radiotheranostic platform employs a MUC16-targeting humanized antibody, huAR9.6 (Photo courtesy of MSK)

New Radiotheranostic System Detects and Treats Ovarian Cancer Noninvasively

Ovarian cancer is the most lethal gynecological cancer, with less than a 30% five-year survival rate for those diagnosed in late stages. Read more
04 Apr 2024 | Nuclear Medicine

Image: Exemplary illustration of the labeling and segmentation process (Photo courtesy of TUM)

CT-Based Deep Learning Algorithm Accurately Differentiates Benign From Malignant Vertebral Fractures

The rise in the aging population is expected to result in a corresponding increase in the prevalence of vertebral fractures which can cause back pain or neurologic compromise, leading to impaired function or disability. Read more
04 Apr 2024 | General/Advanced Imaging

Image: The study compared microwave ablation and surgical resection for multifocal papillary thyroid cancer (Photo courtesy of RSNA)

Minimally Invasive Procedure Could Help Patients Avoid Thyroid Surgery

Papillary thyroid carcinoma (PTC), which is the most common form of thyroid cancer, frequently presents with multifocality, where multiple lumps or nodules (papillae) are found within the thyroid gland. Read more
04 Apr 2024 | General/Advanced Imaging

Image: 11.7 teslas (T) of magnetic field vs. 1.5 and 3 T for conventional MRI machines in hospitals (Photo courtesy of CEA)

World’s Most Powerful MRI Machine Images Living Brain with Unrivaled Clarity

The world's most powerful magnetic resonance imaging (MRI) scanner has generated its first images of the human brain, demonstrating new precision levels that could shed more light on the mysterious human mind—and the illnesses that plague them. Read more
03 Apr 2024 | MRI

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AI Could Boost Clinical Adoption of Chest DDR

For diagnosing lung conditions, healthcare professionals typically rely on chest X-rays and pulmonary function tests (PFTs), which provide a snapshot of lung health. However, these traditional methods... Read more

Image: 3D mammography almost halves the incidence of breast cancer between two screening tests (Photo courtesy of University of Cordoba)

3D Mammography Almost Halves Breast Cancer Incidence between Two Screening Tests

Breast cancer represents 28.9% of all cancers in women and is the primary cause of cancer-related deaths among this group. Interval breast cancers are those diagnosed in the period between two screening... Read more

AI Model Predicts 5-Year Breast Cancer Risk from Mammograms

Approximately 13% of U.S. women, or one in every eight, are predicted to develop invasive breast cancer over their lifetime, with 1 in 39 women (3%) succumbing to the illness, according to the American... Read more

Image: Deep learning enables faster, more accurate decisions on shoulder abnormalities treatment (Photo courtesy of 123RF)

Deep Learning Framework Detects Fractures in X-Ray Images With 99% Accuracy

Globally, 1.7 billion people suffer from musculoskeletal conditions, which can cause significant pain and disability. These conditions often require quick and accurate diagnosis and treatment decisions,... Read more

New Whole-Body Imaging Technology Makes It Possible to View Inflammation on MRI Scan

Macrophages are important immune cells that play a crucial role in both the body's normal inflammatory response and also comprise a significant portion of solid tumors. Given that the density of macrophages... Read more

Combining Prostate MRI with Blood Test Can Avoid Unnecessary Prostate Biopsies

Prostate cancer ranks as the second most prevalent cancer among men globally. For a long time, researchers have acknowledged that not every instance of prostate cancer poses a danger that warrants immediate... Read more

Image: The minimally invasive procedure for prostate cancer has shown successful outcomes (Photo courtesy of Shutterstock)

New Treatment Combines MRI and Ultrasound to Control Prostate Cancer without Serious Side Effects

Prostate cancer is the most prevalent cancer among men, affecting one in eight during their lifetime. Traditional treatments like radiation or surgery carry potential side effects, including urinary incontinence... Read more

Image: Two clinical trials are transforming the way prostate cancer is managed worldwide (Photo courtesy of 123RF)

MRI Improves Diagnosis and Treatment of Prostate Cancer

Prostate cancer ranks as a leading cancer type among men. Suspected prostate cancer cases are usually identified through a prostate-specific antigen (PSA) test or a rectal examination. If cancer is suspected,... Read more

Non-Invasive Ultrasound Imaging Device Diagnoses Risk of Chronic Kidney Disease

Managing chronic kidney disease (CKD) efficiently is imperative for public health, as it represents a progressive condition affecting 10% of the worldwide population. The path from CKD to end-stage renal... Read more

Image: Novosound has secured a patent for its wireless wearable ultrasound imaging platform (Photo courtesy of Novosound)

Wearable Ultrasound Platform Paves Way for 24/7 Blood Pressure Monitoring On the Wrist

An innovative wearable ultrasound technology addresses the limitations of traditional ultrasound and has paved the way for cutting-edge wearable healthcare technology devices that could transform health... Read more

Image: The DEFINITY ultrasound enhancing agent has received FDA approval for pediatric patients (Photo courtesy of Lantheus)

Diagnostic Ultrasound Enhancing Agent to Improve Image Quality in Pediatric Heart Patients

Despite advancements in echocardiography, imaging can be suboptimal, which may lead to inadequate treatment plans, unnecessary additional testing, increased hospital stays and avoidable hospital readmissions.... Read more

Image: The automated detection tool could help ER doctors diagnose COVID-19 patients quickly and accurately (Photo courtesy of Adobe Stock)

AI Detects COVID-19 in Lung Ultrasound Images

During the onset of the pandemic, utilizing artificial intelligence (AI) to identify signs of COVID-19 in lung ultrasound images proved challenging due to limited patient data and a nascent understanding... Read more

AI System Automatically and Reliably Detects Cardiac Amyloidosis Using Scintigraphy Imaging

Cardiac amyloidosis, a condition characterized by the buildup of abnormal protein deposits (amyloids) in the heart muscle, severely affects heart function and can lead to heart failure or death without... Read more

Early 30-Minute Dynamic FDG-PET Acquisition Could Halve Lung Scan Times

F-18 FDG-PET scans are a way to look inside the body using a special dye, and these scans can be either static or dynamic. Static scans happen 60 minutes after the dye is administered into the body, showing... Read more

New Method for Triggering and Imaging Seizures to Help Guide Epilepsy Surgery

Individuals experiencing epilepsy and seizures unmanageable with medication often find brain surgery beneficial. This procedure aims to excise the epileptic tissue while preserving healthy tissue, thus... Read more

Radioguided Surgery Accurately Detects and Removes Metastatic Lymph Nodes in Prostate Cancer Patients

In patients newly diagnosed with prostate cancer, the presence and location of lymph node metastases are critical for guiding clinical decisions and planning treatment. This is because nodal involvement... Read more

Self-Driving Mobile C-Arm Reduces Imaging Time during Surgery

Intraoperative imaging faces significant challenges due to staff shortages and the high demands placed on surgical teams in the operating room (OR). A common challenge during many OR procedures is the... Read more

AR Application Turns Medical Scans Into Holograms for Assistance in Surgical Planning

Siemens Healthineers (Erlangen, Germany) has launched an app designed for Apple Vision Pro that allows users including surgeons, medical students, or patients to view immersive, interactive holograms of... Read more

Imaging Technology Provides Ground-Breaking New Approach for Diagnosing and Treating Bowel Cancer

Biopsies, the current method for diagnosing bowel cancer, are invasive and come with risks like possible infection. While precision medicine has the potential to revolutionize cancer diagnosis and treatment,... Read more

Image: Coronary artery calcium score is predictive of heart attacks and strokes (Photo courtesy of 123RF)

CT Coronary Calcium Scoring Predicts Heart Attacks and Strokes

Coronary artery calcium is a significant marker for predicting cardiovascular incidents. It shows that atherosclerosis, which is the buildup of plaques in the arteries, might have been developing for a while.... 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

International Societies Suggest Key Considerations for AI Radiology Tools

Artificial intelligence (AI) holds the potential to significantly disrupt the field of radiology, presenting both opportunities and challenges. Its integration could transform healthcare by enhancing the... Read more

Image: The Lunit INSIGHT CXR AI-powered chest X-ray analysis solution (Photo courtesy of Lunit)

Samsung's X-Ray Devices to Be Powered by Lunit AI Solutions for Advanced Chest Screening

Samsung Healthcare (Suwon, South Korea) and Lunit (Seoul, South Korea) have entered into a collaboration to integrate Lunit's AI technology into Samsung's premium X-ray devices, enhancing the accuracy... Read more

Canon Medical and Olympus Collaborate on Endoscopic Ultrasound Systems

Canon Medical Systems Corporation (Tochigi, Japan) and Olympus Corporation (Tokyo, Japan) have entered into an agreement to collaborate on endoscopic ultrasound systems. Under the agreement, Canon Medical... Read more

Image: GE HealthCare’s acquisition of MIM Software is expected to strengthen its digital solutions across care pathways (Photo courtesy of GE HealthCare)

GE HealthCare Acquires AI Imaging Analysis Company MIM Software

GE HealthCare (Chicago, IL, USA) has entered into an agreement to acquire MIM Software (Cleveland, OH, USA), a global provider of medical imaging analysis and artificial intelligence (AI) solutions for... Read more

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44 (!!!!! 5463.8385772705): SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets AS dp WHERE dp.id = 294800820 LIMIT 1

45 (!!!!! 3998.9948272705): SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets AS dp WHERE dp.id = 294800820 LIMIT 1

46 (914.8120880127): SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets AS dp WHERE dp.id = 294800797 LIMIT 1

47 (!!!!! 1814.8422241211): SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets AS dp WHERE dp.id = 294800797 LIMIT 1

48 (!!!!! 4567.1463012695): SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets AS dp WHERE dp.id = 294800782 LIMIT 1

49 (!!!!! 1195.9075927734): SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets AS dp WHERE dp.id = 294800782 LIMIT 1

50 (638.96179199219): SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets AS dp WHERE dp.id = 294800783 LIMIT 1

51 (233.88862609863): SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets AS dp WHERE dp.id = 294800783 LIMIT 1

52 (346.89903259277): SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets AS dp WHERE dp.id = 294800765 LIMIT 1

53 (42.915344238281): SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets AS dp WHERE dp.id = 294800765 LIMIT 1

54 (261.06834411621): SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets AS dp WHERE dp.id = 294800767 LIMIT 1

55 (37.908554077148): SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets AS dp WHERE dp.id = 294800767 LIMIT 1

56 (!!!!! 1244.068145752): SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets AS dp WHERE dp.id = 294800764 LIMIT 1

57 (49.829483032227): SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets AS dp WHERE dp.id = 294800764 LIMIT 1

58 (!!!!! 3216.9818878174): SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets AS dp WHERE dp.id = 294800752 LIMIT 1

59 (66.995620727539): SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets AS dp WHERE dp.id = 294800752 LIMIT 1

60 (207.90100097656): SELECT description FROM jos_dp_categories WHERE id=10 LIMIT 1

61 (277.99606323242): 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'

62 (97.990036010742): 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`

63 (987.05291748047): 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

64 (252.00843811035): select jos_twitters.link from jos_twitters where cat=10

65 (100.85105895996): select jos_facebook.link from jos_facebook where cat=10

66 (168.0850982666): select jos_google_plus.link from jos_google_plus where cat=10

67 (!!!!! 2484.0831756592): select jos_linkedin.link from jos_linkedin where cat=10

68 (!!!!! 2533.1974029541): 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`

69 (96.08268737793): SELECT show_live FROM jos_com_show_setting LIMIT 1

70 (56.982040405273): SELECT show_live FROM jos_com_show_setting LIMIT 1

71 (27.179718017578): SELECT show_live FROM jos_com_show_setting LIMIT 1

72 (51.021575927734): SELECT show_live FROM jos_com_show_setting LIMIT 1

73 (66.041946411133): SELECT show_live FROM jos_com_show_setting LIMIT 1

74 (40.054321289062): SELECT show_live FROM jos_com_show_setting LIMIT 1

75 (60.796737670898): SELECT show_live FROM jos_com_show_setting LIMIT 1

76 (35.04753112793): SELECT show_live FROM jos_com_show_setting LIMIT 1

77 (83.92333984375): SELECT show_live FROM jos_com_show_setting LIMIT 1

78 (44.107437133789): SELECT show_live FROM jos_com_show_setting LIMIT 1

79 (44.822692871094): SELECT show_live FROM jos_com_show_setting LIMIT 1

80 (35.04753112793): SELECT show_live FROM jos_com_show_setting LIMIT 1

81 (57.93571472168): SELECT show_live FROM jos_com_show_setting LIMIT 1

82 (34.093856811523): SELECT show_live FROM jos_com_show_setting LIMIT 1

83 (261.06834411621): 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`

84 (261.06834411621): SELECT show_live FROM jos_com_show_setting LIMIT 1

85 (60.081481933594): SELECT show_live FROM jos_com_show_setting LIMIT 1

86 (81.777572631836): SELECT show_live FROM jos_com_show_setting LIMIT 1

87 (47.206878662109): SELECT show_live FROM jos_com_show_setting LIMIT 1

88 (!!!!! 3669.0235137939): SELECT show_live FROM jos_com_show_setting LIMIT 1

89 (85.830688476562): SELECT show_live FROM jos_com_show_setting LIMIT 1

90 (37.908554077148): SELECT show_live FROM jos_com_show_setting LIMIT 1

91 (30.994415283203): SELECT show_live FROM jos_com_show_setting LIMIT 1

92 (30.994415283203): SELECT show_live FROM jos_com_show_setting LIMIT 1

93 (29.087066650391): SELECT show_live FROM jos_com_show_setting LIMIT 1

94 (23.841857910156): SELECT show_live FROM jos_com_show_setting LIMIT 1

95 (25.033950805664): SELECT show_live FROM jos_com_show_setting LIMIT 1

96 (25.033950805664): SELECT show_live FROM jos_com_show_setting LIMIT 1

97 (24.795532226562): SELECT show_live FROM jos_com_show_setting LIMIT 1

98 (349.99847412109): 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

99 (479.93659973145): 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

100 (!!!!! 7495.8801269531): 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

101 (!!!!! 8177.9956817627): 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

102 (!!!!! 7889.0323638916): SELECT * FROM trending_articles WHERE `journal_id` = 10 AND `timestamp` <= NOW() + INTERVAL 7 DAY ORDER BY `order`

103 (!!!!! 164942.97981262): 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

104 (!!!!! 1179651.0219574): ( 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 (294800951,294800945,294800937,294800915,294800916,294800903) 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 (294800951,294800945,294800937,294800915,294800916,294800903) ORDER BY created DESC LIMIT 3 ) ORDER BY created DESC LIMIT 3

105 (116.10984802246): ( 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 (294800951,294800945,294800937,294800915,294800916,294800903) 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 (294800951,294800945,294800937,294800915,294800916,294800903) ORDER BY created DESC LIMIT 3 ) ORDER BY created DESC LIMIT 3

106 (55.074691772461): SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets AS dp WHERE dp.id = 294800513 LIMIT 1

107 (31.948089599609): SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets AS dp WHERE dp.id = 294800513 LIMIT 1

108 (51.021575927734): SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets AS dp WHERE dp.id = 294800359 LIMIT 1

109 (51.975250244141): SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets AS dp WHERE dp.id = 294800359 LIMIT 1

110 (43.153762817383): SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets AS dp WHERE dp.id = 294800361 LIMIT 1

111 (36.001205444336): SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets AS dp WHERE dp.id = 294800361 LIMIT 1

112 (!!!!! 1096.0102081299): 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 (907.89794921875): 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 (!!!!! 25253.057479858): TRUNCATE TABLE jos_trademed_module

115 (!!!!! 2023.9353179932): 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 (51.021575927734): 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 (38.14697265625): 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 (40.054321289062): SELECT livesite FROM jos_dp_categories WHERE id=10 AND published='1' LIMIT 1

119 (869.0357208252): select jos_twitters.link from jos_twitters where cat=10

120 (159.02519226074): select jos_facebook.link from jos_facebook where cat=10

121 (651.12113952637): select jos_google_plus.link from jos_google_plus where cat=10

122 (51.975250244141): select jos_linkedin.link from jos_linkedin where cat=10

123 (!!!!! 2906.7993164062): update jos_bannersmanager_banner set impmade=impmade+1 where id in(14615,14202,14203)

124 (!!!!! 1284.122467041): insert into jos_banners_delta values (14615,'2025-04-29 11:05:35','3.15.31.125','view'),(14202,'2025-04-29 11:05:35','3.15.31.125','view'),(14203,'2025-04-29 11:05:35','3.15.31.125','view')

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