Mik Black NZ Society of Oncologists 2010guest5e6f31
This document discusses several collaborative initiatives that are advancing cancer research, including data sharing platforms like Oncomine and The Cancer Genome Atlas (TCGA), as well as international consortiums such as the International Cancer Genome Consortium (ICGC) and the Cancer Biomedical Informatics Grid (caBIG). It also describes the Broadband-enabled Science and Technology GRID (BeSTGRID) collaboration and a study analyzing a large dataset of breast cancer patients to identify molecular markers for personalized cancer treatment predictions.
The University of Washington has developed a Dietary Data Recorder System (DDRS) that uses a phone-mounted laser grid and camera to automatically calculate the caloric content of over 9,000 types of food in near real-time. The DDRS creates 3D reconstructions of food to determine volume and nutritional content through a database. It can currently measure everyday foods with 90% accuracy, providing calorie and detailed nutrition information along with location and time to improve dietary research and help individuals make better choices.
ControlRad is a system that uses eye tracking technology and a dynamic collimator to dramatically reduce radiation exposure during interventional procedures by up to 90%. It works by closing the feedback loop between an eye tracker and collimator to deliver radiation only to the area being viewed by the operator in real time, while maintaining image quality. Early animal studies show over 60% reduction in radiation dose. The company plans to license its software and certified components to medical device manufacturers to integrate into their c-arm fluoroscopy systems.
Could this change how radiology residents record their clinical output?Apparao Mukkamala
Radiology residents around the world typically record experiential learning (EL) in a clinical logbook, but according to a new study published in the Journal of Digital Imaging, modern PACS and RIS technology could very well be used to build the EL portfolios of the future. https://www.radiologybusiness.com/topics/imaging-informatics/pacs-ris-radiology-residents-clinical-output
Hildegarde Bell is seeking a position as a Biomedical Engineer to apply her skills and knowledge in developing medical technologies. She has a M.S. in Biomedical Engineering from San Jose State University and a M.S. in Biology from Florida International University. As a graduate research assistant at SJSU, she established a cell culture facility and conducted experiments. For her thesis project, she synthesized and characterized graphene quantum dots for biophotonic applications and presented the research. She is proficient in various engineering and laboratory techniques and software applications.
William Gottschalk graduated from The George Washington University with a Bachelor of Science in Biomedical Engineering and a minor in Biophysics. He has relevant coursework in mathematics, natural sciences, programming, and biological and electrical engineering. His technical skills include programming languages like C and C++, and software like Matlab, Pspice, and Labview. For his senior design project, he helped create a physiological measurement system embedded in clothing that could measure heart rate, respiration, distance, speed, and energy expenditure. He has research experience interning at Memorial Sloan Kettering Cancer Center and clinical experience interning at Norwalk Hospital. Currently he works as a Media Analyst at TVEyes Incorporated.
This document is a resume for Isaac Noyes, a fourth year Life Physics student at the University of Waterloo. It summarizes his education, including a Bachelor of Science in Life Physics and an Ontario Secondary School Diploma. It also outlines his work experience in physics technician roles at Grand River Hospital and as an environmental technician at Lower Trent Conservation, as well as other relevant lab and office positions. His objective is to expand his education in the sciences and physics of living systems through research contributions.
This document is a resume for an individual that has a BS in Environmental Geoscience and Chemistry from Michigan State University. They served in the US Coast Guard from 2008-2012 as an Avionic Electrical Technician, where they inspected, serviced, maintained, and repaired avionics systems on multiple aircraft platforms. They have experience with various lab techniques and software related to environmental science and geoscience.
Mik Black NZ Society of Oncologists 2010guest5e6f31
This document discusses several collaborative initiatives that are advancing cancer research, including data sharing platforms like Oncomine and The Cancer Genome Atlas (TCGA), as well as international consortiums such as the International Cancer Genome Consortium (ICGC) and the Cancer Biomedical Informatics Grid (caBIG). It also describes the Broadband-enabled Science and Technology GRID (BeSTGRID) collaboration and a study analyzing a large dataset of breast cancer patients to identify molecular markers for personalized cancer treatment predictions.
The University of Washington has developed a Dietary Data Recorder System (DDRS) that uses a phone-mounted laser grid and camera to automatically calculate the caloric content of over 9,000 types of food in near real-time. The DDRS creates 3D reconstructions of food to determine volume and nutritional content through a database. It can currently measure everyday foods with 90% accuracy, providing calorie and detailed nutrition information along with location and time to improve dietary research and help individuals make better choices.
ControlRad is a system that uses eye tracking technology and a dynamic collimator to dramatically reduce radiation exposure during interventional procedures by up to 90%. It works by closing the feedback loop between an eye tracker and collimator to deliver radiation only to the area being viewed by the operator in real time, while maintaining image quality. Early animal studies show over 60% reduction in radiation dose. The company plans to license its software and certified components to medical device manufacturers to integrate into their c-arm fluoroscopy systems.
Could this change how radiology residents record their clinical output?Apparao Mukkamala
Radiology residents around the world typically record experiential learning (EL) in a clinical logbook, but according to a new study published in the Journal of Digital Imaging, modern PACS and RIS technology could very well be used to build the EL portfolios of the future. https://www.radiologybusiness.com/topics/imaging-informatics/pacs-ris-radiology-residents-clinical-output
Hildegarde Bell is seeking a position as a Biomedical Engineer to apply her skills and knowledge in developing medical technologies. She has a M.S. in Biomedical Engineering from San Jose State University and a M.S. in Biology from Florida International University. As a graduate research assistant at SJSU, she established a cell culture facility and conducted experiments. For her thesis project, she synthesized and characterized graphene quantum dots for biophotonic applications and presented the research. She is proficient in various engineering and laboratory techniques and software applications.
William Gottschalk graduated from The George Washington University with a Bachelor of Science in Biomedical Engineering and a minor in Biophysics. He has relevant coursework in mathematics, natural sciences, programming, and biological and electrical engineering. His technical skills include programming languages like C and C++, and software like Matlab, Pspice, and Labview. For his senior design project, he helped create a physiological measurement system embedded in clothing that could measure heart rate, respiration, distance, speed, and energy expenditure. He has research experience interning at Memorial Sloan Kettering Cancer Center and clinical experience interning at Norwalk Hospital. Currently he works as a Media Analyst at TVEyes Incorporated.
This document is a resume for Isaac Noyes, a fourth year Life Physics student at the University of Waterloo. It summarizes his education, including a Bachelor of Science in Life Physics and an Ontario Secondary School Diploma. It also outlines his work experience in physics technician roles at Grand River Hospital and as an environmental technician at Lower Trent Conservation, as well as other relevant lab and office positions. His objective is to expand his education in the sciences and physics of living systems through research contributions.
This document is a resume for an individual that has a BS in Environmental Geoscience and Chemistry from Michigan State University. They served in the US Coast Guard from 2008-2012 as an Avionic Electrical Technician, where they inspected, serviced, maintained, and repaired avionics systems on multiple aircraft platforms. They have experience with various lab techniques and software related to environmental science and geoscience.
This document contains links to various academic sources related to forensic science topics. The first link discusses murder-suicides involving children over a 29-year period. The second link talks about the use of Raman spectroscopy in forensic analysis. The remaining links are to doctoral theses that likely discuss other topics related to forensic science, but their full contents cannot be determined from just the URLs. In total, the document provides high-level references to previous studies on criminal case analyses and analytical techniques used in forensic investigations.
The document provides information about computational toxicology data resources available from the EPA's Office of Research and Development including the Aggregated Computational Toxicology Resource (ACToR), DSSTox Database, ExpoCast Database, ToxCast Database, ToxRefDB, and Tox21 Collaboration. It also lists exposure data resources such as the Consolidated Human Activity Database (CHAD), Consumer Product Chemical Profiles Database, ExpoCast, and Stochastic Human Exposure and Dose Simulation Model (SHEDS). Finally, it mentions toxicological data shared via the Comparative Toxicogenomics Database (CTD) from the NIEHS.
John Thomas Mold has over 10 years of experience in biotechnology research and military aviation maintenance. He holds a Bachelor's degree in Molecular Biology and Biotechnology from Rochester Institute of Technology, where he also worked as a teaching assistant. Currently, he works as a Downstream Research Scientist at Bristol-Myers Squibb conducting experiments on biopharmaceutical purification processes. Previously, he served in the United States Navy as an Aviation Structural Mechanic, providing supervision and training.
Adam Pely is a biomedical engineering student at Duke University expected to graduate with a Master's degree in December 2016. He has work experience developing ultrasound imaging and elasticity techniques at Duke, Siemens, and Boston University. His skills include MATLAB, Python, C++, and image/signal processing. He has led projects for non-profits involving databases and has taught medical device design and physiology labs.
Bringing scientists to data to accelerate discoveries and improve human healt...Sri Ambati
Presented at #H2OWorld 2017 in Mountain View, CA.
Enjoy the video:
Learn more about H2O.ai: https://www.h2o.ai/.
Follow @h2oai: https://twitter.com/h2oai.
- - -
Data sharing is fraught with privacy concerns in the biomedical domain. How do we develop insights if data silos are our reality? Stanford is undertaking a “data commons on steroids” approach with a goal to “free the scientist” and make insight sharing possible across the data silos.
Somalee is a computational physicist by training, a biotechnologist by profession and a data analyst by the way of passion. She believes that with the explosion of data in healthcare and with new methods to analyze such large amounts of data, we will see massive changes in how human diseases are addressed via novel drugs, large-scale genomics, wearable sensors, and software to tie it all together. She wants to drive part of this revolution.
U of michigan buys pfizer site | january 5, 2009 issue vol. 87 issue 1 | ch...Joseph Serwach
The University of Michigan acquired Pfizer's 174-acre research facility in Ann Arbor, Michigan for $108 million. The university hopes to recreate over 2,000 jobs lost when Pfizer closed the site, and use the facilities to attract more research funding and strengthen the local economy. The acquisition was funded from university health system reserves and is expected to benefit regional research over the next 10 years.
Connecting Physicians and iPads to Support Patient Careevardell
This document discusses using iPads in clinical settings for patient education and care. It provides examples of how iPads can be used to look up information at the patient's bedside, display images and videos, and complete electronic forms and questionnaires. Barriers to iPad adoption like cost and technical issues are addressed. Results from a pilot study show promise for using iPads for these functions. Overall, the document argues that iPads show potential to improve patient care and education if implementation challenges can be overcome.
Steven Oswald is seeking a long-term position as a Health Physics Technician. He has an Associate's degree in Nuclear Technology from Linn State Technical College and passed the RP Fundamentals test. His qualifications include various nuclear training programs and recommended EEI tests. He has skills in areas like radiation safety, detection, dosimetry, and protection. His work history includes internships at Cooper Nuclear Station and jobs at various retailers.
Adam Mueller has over 15 years of experience in clinical research compliance and operations. He currently serves as the Clinical Research Compliance Officer at the University of Utah, where he directs their clinical trials management system and oversees $5.2 million in research charges annually. Previously he worked as an All Source Intelligence Analyst in the US Army National Guard, analyzing intelligence to improve situational awareness for commanders. He holds an MBA with a specialization in Finance from New York Institute of Technology.
This document provides an overview of IRB Barcelona, a biomedical research institute. It discusses the institute's mission to conduct multidisciplinary research at the forefront of biomedicine. Examples are given of recent research findings, including using immunotherapy to treat colon cancer, how circadian rhythms impact aging, and developing a nano-carrier drug delivery system. Facts and figures about IRB Barcelona are presented, noting its designation as a Severo Ochoa Centre of Excellence and research awards/grants received. Infrastructure needs like high-bandwidth internet connections are also mentioned to support processing large datasets from core facilities.
This document discusses leptomeningeal metastasis (LM), also known as neoplastic meningitis. LM occurs when cancer spreads to the membranes surrounding the brain and spinal cord. The document covers the epidemiology, pathophysiology, clinical presentation, diagnosis, and treatment of LM. Key points include that LM most often originates from breast, lung, or skin cancers and presents with neurological deficits affecting the brain, cranial nerves, or spinal cord. Diagnosis involves MRI, lumbar puncture for cerebrospinal fluid analysis, and ruling out other causes. Prognosis is generally poor with median survival of only a few months.
EBIR is open to both European and non-European radiologists who wish to become certified in interventional radiology. The European Board of Interventional Radiology (EBIR) provides certification for radiologists practicing interventional procedures. A video on the EBIR is available for those interested in learning more about certification options.
The document appears to be a presentation agenda for a film panel at the New England Roentgen Ray Society on February 8, 2013. The presenter is listed as Cheryl A. Sadow, MD from Brigham and Women's Hospital. The presentation includes case studies of a 55-year-old woman with hypertension and edema, a 7-week-old infant with abdominal distension and hypercalcemia, and a 20-year-old woman with heavy vaginal bleeding after an abortion. Various MRI and CT images are listed for discussion.
A 35-year-old male presented with pre-syncope. A 51-year-old female presented in respiratory distress and was found to have a CTPE. A 65-year-old female had been coughing up rocks. A 34-year-old woman presented with cough, sore throat, and low-grade fever. A 50-year-old female presented to the ER with hemoptysis and a history of COPD, sinusitis, and cough. The document discusses various patient histories and clinical presentations.
Case 1 - A 40-year-old woman with a history of lymphoma in remission presents with left hip pain. Imaging shows abnormalities at the left anterior iliac crest. A companion case involves a 43-year-old woman with pain at the right anterior iliac crest.
Case 2 - A 27-year-old runner developed weakness and edema over 4 months. Labs show peripheral eosinophilia. MRI shows abnormalities of the thighs.
Case 3 - A 32-year-old man noted a firm right shoulder mass. Imaging shows a scapular mass and a companion case of a more common presentation of the same entity in the thumb.
Case 4 - An 84-year-old man
2014-15 NERRS Abdominal Radiology Case UnknownsNERRS
This medical document discusses four patients with liver issues. A 59-year-old male has elevated liver enzymes. A 48-year-old female has right upper quadrant pain and jaundice. A 45-year-old male has abdominal pain and a prior bowel resection. A 60-year-old male with hepatitis C, cirrhosis, and a new hepatic lesion on ultrasound of the right lobe is scheduled for additional imaging tests.
A 52-year-old man underwent a CT FDG PET fused PET/CT scan for a palpable lump. A 40-year-old woman with back pain received MRI scans including STIR, T1, and contrast images. Another patient, a 75-year-old woman with osteoporosis, also received imaging.
NERRS February 2014 Emergency Radiology Case UnknownsNERRS
This document describes four patient cases seen by different doctors, including a 72-year-old female with abdominal pain, a 42-year-old female with abdominal pain and bloody diarrhea, a 37-year-old male with chest pain and vomiting of digested blood, and a 67-year-old male with an abnormal heart ultrasound.
This document contains brief descriptions of four medical cases without diagnoses. The cases include a 41-year-old woman with a 5-year history of ear blockage and pain, a 43-year-old man experiencing seizures, a 15-year-old boy with a neck mass who received follow-up ultrasounds and CT scans, and a 46-year-old man with acute vertigo. Diagnoses are not provided for any of the medical cases described.
This document contains links to various academic sources related to forensic science topics. The first link discusses murder-suicides involving children over a 29-year period. The second link talks about the use of Raman spectroscopy in forensic analysis. The remaining links are to doctoral theses that likely discuss other topics related to forensic science, but their full contents cannot be determined from just the URLs. In total, the document provides high-level references to previous studies on criminal case analyses and analytical techniques used in forensic investigations.
The document provides information about computational toxicology data resources available from the EPA's Office of Research and Development including the Aggregated Computational Toxicology Resource (ACToR), DSSTox Database, ExpoCast Database, ToxCast Database, ToxRefDB, and Tox21 Collaboration. It also lists exposure data resources such as the Consolidated Human Activity Database (CHAD), Consumer Product Chemical Profiles Database, ExpoCast, and Stochastic Human Exposure and Dose Simulation Model (SHEDS). Finally, it mentions toxicological data shared via the Comparative Toxicogenomics Database (CTD) from the NIEHS.
John Thomas Mold has over 10 years of experience in biotechnology research and military aviation maintenance. He holds a Bachelor's degree in Molecular Biology and Biotechnology from Rochester Institute of Technology, where he also worked as a teaching assistant. Currently, he works as a Downstream Research Scientist at Bristol-Myers Squibb conducting experiments on biopharmaceutical purification processes. Previously, he served in the United States Navy as an Aviation Structural Mechanic, providing supervision and training.
Adam Pely is a biomedical engineering student at Duke University expected to graduate with a Master's degree in December 2016. He has work experience developing ultrasound imaging and elasticity techniques at Duke, Siemens, and Boston University. His skills include MATLAB, Python, C++, and image/signal processing. He has led projects for non-profits involving databases and has taught medical device design and physiology labs.
Bringing scientists to data to accelerate discoveries and improve human healt...Sri Ambati
Presented at #H2OWorld 2017 in Mountain View, CA.
Enjoy the video:
Learn more about H2O.ai: https://www.h2o.ai/.
Follow @h2oai: https://twitter.com/h2oai.
- - -
Data sharing is fraught with privacy concerns in the biomedical domain. How do we develop insights if data silos are our reality? Stanford is undertaking a “data commons on steroids” approach with a goal to “free the scientist” and make insight sharing possible across the data silos.
Somalee is a computational physicist by training, a biotechnologist by profession and a data analyst by the way of passion. She believes that with the explosion of data in healthcare and with new methods to analyze such large amounts of data, we will see massive changes in how human diseases are addressed via novel drugs, large-scale genomics, wearable sensors, and software to tie it all together. She wants to drive part of this revolution.
U of michigan buys pfizer site | january 5, 2009 issue vol. 87 issue 1 | ch...Joseph Serwach
The University of Michigan acquired Pfizer's 174-acre research facility in Ann Arbor, Michigan for $108 million. The university hopes to recreate over 2,000 jobs lost when Pfizer closed the site, and use the facilities to attract more research funding and strengthen the local economy. The acquisition was funded from university health system reserves and is expected to benefit regional research over the next 10 years.
Connecting Physicians and iPads to Support Patient Careevardell
This document discusses using iPads in clinical settings for patient education and care. It provides examples of how iPads can be used to look up information at the patient's bedside, display images and videos, and complete electronic forms and questionnaires. Barriers to iPad adoption like cost and technical issues are addressed. Results from a pilot study show promise for using iPads for these functions. Overall, the document argues that iPads show potential to improve patient care and education if implementation challenges can be overcome.
Steven Oswald is seeking a long-term position as a Health Physics Technician. He has an Associate's degree in Nuclear Technology from Linn State Technical College and passed the RP Fundamentals test. His qualifications include various nuclear training programs and recommended EEI tests. He has skills in areas like radiation safety, detection, dosimetry, and protection. His work history includes internships at Cooper Nuclear Station and jobs at various retailers.
Adam Mueller has over 15 years of experience in clinical research compliance and operations. He currently serves as the Clinical Research Compliance Officer at the University of Utah, where he directs their clinical trials management system and oversees $5.2 million in research charges annually. Previously he worked as an All Source Intelligence Analyst in the US Army National Guard, analyzing intelligence to improve situational awareness for commanders. He holds an MBA with a specialization in Finance from New York Institute of Technology.
This document provides an overview of IRB Barcelona, a biomedical research institute. It discusses the institute's mission to conduct multidisciplinary research at the forefront of biomedicine. Examples are given of recent research findings, including using immunotherapy to treat colon cancer, how circadian rhythms impact aging, and developing a nano-carrier drug delivery system. Facts and figures about IRB Barcelona are presented, noting its designation as a Severo Ochoa Centre of Excellence and research awards/grants received. Infrastructure needs like high-bandwidth internet connections are also mentioned to support processing large datasets from core facilities.
This document discusses leptomeningeal metastasis (LM), also known as neoplastic meningitis. LM occurs when cancer spreads to the membranes surrounding the brain and spinal cord. The document covers the epidemiology, pathophysiology, clinical presentation, diagnosis, and treatment of LM. Key points include that LM most often originates from breast, lung, or skin cancers and presents with neurological deficits affecting the brain, cranial nerves, or spinal cord. Diagnosis involves MRI, lumbar puncture for cerebrospinal fluid analysis, and ruling out other causes. Prognosis is generally poor with median survival of only a few months.
EBIR is open to both European and non-European radiologists who wish to become certified in interventional radiology. The European Board of Interventional Radiology (EBIR) provides certification for radiologists practicing interventional procedures. A video on the EBIR is available for those interested in learning more about certification options.
The document appears to be a presentation agenda for a film panel at the New England Roentgen Ray Society on February 8, 2013. The presenter is listed as Cheryl A. Sadow, MD from Brigham and Women's Hospital. The presentation includes case studies of a 55-year-old woman with hypertension and edema, a 7-week-old infant with abdominal distension and hypercalcemia, and a 20-year-old woman with heavy vaginal bleeding after an abortion. Various MRI and CT images are listed for discussion.
A 35-year-old male presented with pre-syncope. A 51-year-old female presented in respiratory distress and was found to have a CTPE. A 65-year-old female had been coughing up rocks. A 34-year-old woman presented with cough, sore throat, and low-grade fever. A 50-year-old female presented to the ER with hemoptysis and a history of COPD, sinusitis, and cough. The document discusses various patient histories and clinical presentations.
Case 1 - A 40-year-old woman with a history of lymphoma in remission presents with left hip pain. Imaging shows abnormalities at the left anterior iliac crest. A companion case involves a 43-year-old woman with pain at the right anterior iliac crest.
Case 2 - A 27-year-old runner developed weakness and edema over 4 months. Labs show peripheral eosinophilia. MRI shows abnormalities of the thighs.
Case 3 - A 32-year-old man noted a firm right shoulder mass. Imaging shows a scapular mass and a companion case of a more common presentation of the same entity in the thumb.
Case 4 - An 84-year-old man
2014-15 NERRS Abdominal Radiology Case UnknownsNERRS
This medical document discusses four patients with liver issues. A 59-year-old male has elevated liver enzymes. A 48-year-old female has right upper quadrant pain and jaundice. A 45-year-old male has abdominal pain and a prior bowel resection. A 60-year-old male with hepatitis C, cirrhosis, and a new hepatic lesion on ultrasound of the right lobe is scheduled for additional imaging tests.
A 52-year-old man underwent a CT FDG PET fused PET/CT scan for a palpable lump. A 40-year-old woman with back pain received MRI scans including STIR, T1, and contrast images. Another patient, a 75-year-old woman with osteoporosis, also received imaging.
NERRS February 2014 Emergency Radiology Case UnknownsNERRS
This document describes four patient cases seen by different doctors, including a 72-year-old female with abdominal pain, a 42-year-old female with abdominal pain and bloody diarrhea, a 37-year-old male with chest pain and vomiting of digested blood, and a 67-year-old male with an abnormal heart ultrasound.
This document contains brief descriptions of four medical cases without diagnoses. The cases include a 41-year-old woman with a 5-year history of ear blockage and pain, a 43-year-old man experiencing seizures, a 15-year-old boy with a neck mass who received follow-up ultrasounds and CT scans, and a 46-year-old man with acute vertigo. Diagnoses are not provided for any of the medical cases described.
The document discusses a visit by the IUOIR to Vietnam in July 2013 led by Prof. A. Weill from Canada. The group traveled to Vietnam during this time period but no other details are provided about the purpose or itinerary of the visit. The summary is limited due to the brevity of the original document which provides only the month and year of travel and the leader's name and country but no other contextual information.
The IUOIR is offering a renal denervation workshop and scientific visit to France. Their renal denervation IR team consists of two professors from the USA and France who can provide hands-on training at a local hospital. The team also offers a scientific visit to France.
This document provides the draft program for the International Course of Interventional Radiology (ICIR) being held on April 24-25, 2015 in Hanoi, Vietnam. The two-day course will cover a variety of interventional radiology topics through lectures and live case demonstrations. Day 1 focuses on neurovascular, peripheral vascular, and obstetrics/gynecology interventions. Day 2 covers abdominal/biliary interventions and IR procedures for pain management. Speakers will discuss the latest techniques and outcomes from Vietnam and France. The goal is to share knowledge and advance interventional radiology practices between Vietnamese and international physicians.
A 36-year-old man presented with right hip pain. An MRI showed findings consistent with calcific tendinitis in the resorptive phase. This can mimic infection or tumor, but radiographs are helpful to identify faint calcifications. A 40-year-old man presented with back pain and bloating. An MRI identified an osteochondroma originating from the metaphysis with contiguous marrow and cortex, pointing away from the joint. A 58-year-old woman developed difficulty walking, hypercalcemia, and later hand pain. MRI showed findings consistent with sarcoidosis involving multiple sites including muscle, bone and joints.
The document describes several patients presenting with musculoskeletal pain and symptoms who underwent MRI imaging to evaluate their conditions. It lists each patient's age, symptoms, and the MRI sequences performed, including T1-weighted, T2-weighted, STIR, post-contrast T1 fat saturated images in some cases. The patients presented with issues like hip pain, back pain, difficulty walking, hand pain, and ankle swelling.
A 45-year-old man presented with chronic low grade fevers and right upper quadrant pain. He was diagnosed with hepatic fascioliasis, a zoonotic disease caused by liver flukes. Imaging showed non-specific hypoechoic lesions on ultrasound and hypodense nodular areas or tunnel-like structures with capsular enhancement on CT and MRI. Serologic testing or finding eggs in stool is required to confirm the diagnosis.
This medical document describes 5 patients presenting with various gastrointestinal symptoms. A 29-year-old female reported left upper quadrant discomfort, a 43-year-old female had pelvic pain and rectal bleeding, and a 34-year-old female experienced recurrent right upper quadrant pain. Additionally, a 45-year-old man suffered from chronic low-grade fevers and right upper quadrant pain, and a 47-year-old female presented with abdominal pain and fever.
A 55-year-old woman presented with worsening hypertension, weight gain, generalized edema, and facial swelling. She had a 20-year-old patient who experienced heavy vaginal bleeding without pain or cramping for two weeks following a therapeutic abortion six weeks prior. The document appears to be notes from a film panel presentation discussing cases of female patients with abdominal issues.
This document contains a series of case presentations from an imaging conference on women's health issues. Each case includes a brief patient history and imaging findings. Conference participants are asked to identify findings, provide differential diagnoses, and make recommendations. The cases cover a range of topics including breast imaging, obstetric ultrasound, gynecologic imaging, and oncologic imaging.
A 41-year-old woman presented with a 5-year history of right ear blockage and pain was diagnosed with a sympathetic chain schwannoma after imaging showed a mass along the sympathetic chain in the neck. A 43-year-old man with seizures was found to have a dural arteriovenous fistula involving the left sigmoid and transverse sinuses. A 15-year-old boy evaluated for a neck mass was diagnosed with pyriform sinus fistulae after follow-up imaging showed an abnormal tract extending from the pyriform sinus into the neck.
Cardiovascular Disease Prediction Using Machine Learning Approaches.pptxTaminul Islam
Cardiovascular Disease Prediction Using Machine Learning Approaches.
Presentation for CISES 2023. Presentation Outline.
Introduction
Objectives
Literature review
Data Collection
Methodology
Result
Challenges & Future work
Conclusion
Using Deep Learning and Transfer Learning for Pneumonia DetectionIRJET Journal
This document presents research on using deep learning and transfer learning models to detect pneumonia from chest x-ray images. The researchers collected a dataset of over 5,000 chest x-rays and split it into training and test sets. Data augmentation techniques were used to expand the training dataset size. Several deep learning models were trained on the data including CNN, DenseNet121, VGG16, ResNet50, and Inception v3. Transfer learning was also utilized by training models pre-trained on ImageNet. The Inception v3 model achieved the highest testing accuracy of 80.29% for pneumonia detection. The researchers concluded the deep learning models could help radiologists diagnose pneumonia but that more work is needed to localize affected lung regions.
RETINAL IMAGE CLASSIFICATION USING NEURAL NETWORK BASED ON A CNN METHODSIRJET Journal
This document discusses using a convolutional neural network to classify retinal images. Specifically, it aims to develop a system to distinguish between different retinal diseases using fundus images. The system would extract retinal features from the images like the retina, optic nerve and lesions. It then uses a CNN to detect multiple retinal diseases in fundus photographs from a structured analysis database. The CNN is trained on publicly available retinal image datasets. Neural networks have been found to effectively capture disease-specific color and texture features to enable automated diagnosis similar to human experts. The document also provides background on related work using deep learning and CNNs for tasks like lesion detection and classification of retinal diseases from fundus images.
IRJET- Survey on Breast Cancer Detection using Neural NetworksIRJET Journal
This document summarizes a survey on detecting breast cancer using neural networks. It discusses how breast cancer is the second leading cause of cancer deaths worldwide. Early detection greatly increases survival rates. The document reviews different existing techniques for breast cancer detection including artificial neural networks, feedforward neural networks, decision trees, random forests, and support vector machines. It analyzes the performance of various studies that used techniques like C4.5, naive Bayes, k-nearest neighbor, and probabilistic neural networks. The proposed research will use neural networks and algorithms like Bayes, support vector machine, and decision trees on breast cancer datasets to more accurately detect cancer recurrence.
IRJET- Survey on Breast Cancer Detection using Neural NetworksIRJET Journal
This document summarizes a survey on detecting breast cancer using neural networks. It discusses how breast cancer is the second leading cause of cancer deaths worldwide. Early detection greatly increases survival rates. The study aims to increase the accuracy of cancer detection results by using an artificial neural network algorithm. It reviews several existing techniques for breast cancer detection and their accuracy levels. The proposed research will use different data mining algorithms like Bayes, support vector machine, decision trees, and neural networks on datasets from Kaggle to more accurately detect cancer recurrence with the goal of achieving higher accuracy than previous methods.
Comparative Study of Classification Method on Customer Candidate Data to Pred...IJECEIAES
Leasing vehicles are a company engaged in the field of vehicle loans. Purchase by way of credit becomes a mainstay because it can attract potential customers to generate more profit. But if there is a mistake in approving a customer candidate, the risk of stalled credit payments can happen. To minimize the risk, it can be applied the certain data mining technique to predict the future behavior of the customers. In this study, it is explored in some data mining techniques such as C4.5 and Naive Bayes for this purpose. The customer attributes used in this study are: salary, age, marital status, other installments and worthiness. The experiments are performed by using the Weka software. Based on evaluation criteria, i.e. accuracy, C4.5 algorithm outperforms compared to Naive Bayes. The percentage split experiment scenarios provide the precision value of 89.16% and the accuracy value of 83.33% wheres the cross validation experiment scenarios give the higher accuracy values of all used k-fold. The C4.5 experiment results also confirm that the most influential instant data attribute in this research is the salary.
Parkinson’s Disease Detection Using Transfer LearningIRJET Journal
This document presents a study on detecting Parkinson's disease using transfer learning on sketch images. The researchers collected spiral and wave sketch images from healthy and Parkinson's patients. They used pre-trained Inception v3 and ResNet50 models with transfer learning to classify the sketches. Inception v3 achieved 92.83% accuracy in distinguishing between healthy and Parkinson's patient sketches. The study demonstrates the potential of using deep learning and transfer learning on motor symptoms like sketching to help detect Parkinson's disease early. Future work could improve the methodology and datasets to better identify the disease.
This document discusses biometric ear recognition systems for authentication. It begins with an abstract describing a system that uses ear images captured during sign up to authenticate users during login by matching the live ear image to the stored one. It then reviews the literature on various ear recognition techniques, including 3D ear recognition using iterative closest point and stochastic clustering matching algorithms, and normalization methods to make ear features invariant to transformations. The document evaluates different feature extraction methods like PCA, SURF and geometric features to recognize individuals based on ear patterns. Overall, the document examines the viability of using ear biometrics for authentication and reviews different approaches in the literature.
IRJET - Prediction of Autistic Spectrum Disorder based on Behavioural Fea...IRJET Journal
This document summarizes a research paper that aims to predict autism spectrum disorder (ASD) based on behavioral features using machine learning. The researchers collected ASD screening data from different age groups to develop and evaluate neural network models for predicting ASD. They achieved up to 90% accuracy in predicting ASD. The researchers concluded that machine learning is a promising approach for ASD prediction but noted limitations like lack of large datasets. They plan to improve the models by collecting more data from various sources.
Adrian Miron has over 25 years of experience in nuclear and radiological engineering, emergency planning, and research. He has expertise in fields such as nuclear engineering, emergency planning, modeling, data analysis, and software development. Miron has managed over $1 million in research grants and projects, developed emergency response plans and procedures, reviewed safety documents, and authored numerous publications. Currently, he works as an emergency planning coordinator and manages several projects around emergency preparedness software and procedures.
1. Researchers developed an X-ray disease identifier using a deep learning model to analyze chest X-ray images and diagnose diseases.
2. They used the VGG19 classification model to process X-ray images from the NIH dataset and diagnose diseases, achieving over 60% accuracy for most diseases.
3. The system aims to assist radiologists by providing automated disease diagnoses from X-ray images to reduce their workload and enable diagnoses in remote areas.
Comparative Analysis of Machine Learning Algorithms for Parkinson's Disease P...IRJET Journal
This document discusses research that applies machine learning techniques like neural networks to predict Parkinson's disease using large datasets of patient health records and symptoms. The research aims to evaluate models' performance in discerning Parkinson's patterns and provide insights into machine learning's efficacy for Parkinson's detection. Several studies that applied techniques like random forests, support vector machines, and convolutional neural networks to Parkinson's prediction are reviewed. The reviewed studies achieved prediction accuracies between 73.8% to 96.45%. The discussed research aims to develop enhanced predictive models using machine learning to help with early and accurate Parkinson's diagnosis.
Bone Age Estimation for Investigational AnalysisIRJET Journal
This document proposes a machine learning model to estimate bone age from pelvis X-ray images for individuals over 18 years of age. The model uses the Xception neural network architecture with transfer learning. The dataset contains 200 pelvis X-ray images of different age groups. The images are preprocessed using CLAHE and data augmentation. The model achieves a mean average error of 12.352 years for bone age estimation. This bone age estimation system could help determine the age of victims in forensic investigations when other identification documents are unavailable. The accuracy may be improved further by adding more X-ray images to the training dataset.
IRJET- Automated Measurement of AVR Feature in Fundus Images using Image ...IRJET Journal
This document summarizes an ongoing project to automatically measure the arteriolar-to-venular ratio (AVR) in fundus images using image processing and machine learning techniques. The project involves six main stages: preprocessing, vessel segmentation, region of interest detection, vessel width measurement, vessel classification into arteries and veins, and AVR calculation. So far, the team has completed the first four stages using image processing in MATLAB and Python. They are now working on the vessel classification stage, evaluating both unsupervised k-means clustering and supervised naive Bayes classification approaches. The goal of the project is to develop a fully automated method without any user input to accurately measure AVR, which is important for predicting cardiovascular and other diseases.
Enhancing Parkinson's Disease Detection Through Machine LearningIRJET Journal
The document presents a study on enhancing the detection of Parkinson's disease through machine learning. The study uses voice signals and applies data preprocessing and machine learning classifiers like SVM and Random Forest. The Random Forest algorithm achieved 95% accuracy, outperforming SVM at 90% accuracy. This shows machine learning can effectively classify Parkinson's disease from voice data and help diagnose it earlier. The study aims to improve early detection to enhance patients' quality of life.
Functional MRI using Apache Spark in Big Data ApplicationSivaSankari36
Technologies for ascendable investigation of terribly massive datasets have emerge within the domain of web computing, however are still seldom utilized in neuroimaging despite the existence of knowledge and analysis queries in want of economical computation tools particularly in fMRI
DIABETIC RETINOPATHY DETECTION USING MACHINE LEARNING TECHNIQUEIRJET Journal
1) The document discusses a method for detecting diabetic retinal disease using integrated shallow convolutional neural networks, which can improve classification accuracy by 3% on small datasets compared to other CNN techniques.
2) It aims to classify retinal images to detect diabetic retinopathy through shallow CNNs, focusing on cases with limited labelled training data, as deep CNNs typically require large datasets for high accuracy.
3) Experimental results show the proposed approach reduces time cost to around 30% of the smallest dataset tested, which is 10% of the original dataset, while maintaining classification accuracy compared to other integrated CNN learning algorithms.
A MACHINE LEARNING METHODOLOGY FOR DIAGNOSING CHRONIC KIDNEY DISEASEIRJET Journal
This document discusses a machine learning methodology for diagnosing chronic kidney disease (CKD). It proposes using K-nearest neighbors (KNN) and logistic regression models trained on a CKD dataset containing missing values. KNN imputation was used to fill in the missing values. Among various machine learning algorithms tested, random forest achieved the best performance of 99.75% accuracy. The models were able to accurately diagnose CKD to help patients receive early treatment.
Plant disease detection using machine learning algorithm-1.pptxRummanHajira
Plant disease detection and classification using machine learning algorithm - It gives you a glance of introduction on why do we have to detect and classify the diseases along with the IEEE papers as a reference to the titled project
Early Identification of Diseases Based on Responsible Attribute using Data Mi...IRJET Journal
This document describes a proposed method for early identification of diseases using data mining and classification techniques. It begins with an introduction to classification and discusses how it is commonly used in healthcare for tasks like predicting patient risk levels. It then reviews related literature applying classification methods to diseases like heart disease and diabetes. The document outlines the problem of selecting the best classification technique for a given healthcare dataset. It proposes an architecture and method for disease prediction that assigns recommended values to attributes and classifies unknown data based on calculating totals. The method is experimentally analyzed using a heart disease dataset, and its accuracy is compared to Bayesian classification. In conclusion, the proposed method seeks to reduce attributes and complexity while accurately classifying patient data for early disease identification.
Muktapishti is a traditional Ayurvedic preparation made from Shoditha Mukta (Purified Pearl), is believed to help regulate thyroid function and reduce symptoms of hyperthyroidism due to its cooling and balancing properties. Clinical evidence on its efficacy remains limited, necessitating further research to validate its therapeutic benefits.
Adhd Medication Shortage Uk - trinexpharmacy.comreignlana06
The UK is currently facing a Adhd Medication Shortage Uk, which has left many patients and their families grappling with uncertainty and frustration. ADHD, or Attention Deficit Hyperactivity Disorder, is a chronic condition that requires consistent medication to manage effectively. This shortage has highlighted the critical role these medications play in the daily lives of those affected by ADHD. Contact : +1 (747) 209 – 3649 E-mail : sales@trinexpharmacy.com
Does Over-Masturbation Contribute to Chronic Prostatitis.pptxwalterHu5
In some case, your chronic prostatitis may be related to over-masturbation. Generally, natural medicine Diuretic and Anti-inflammatory Pill can help mee get a cure.
Integrating Ayurveda into Parkinson’s Management: A Holistic ApproachAyurveda ForAll
Explore the benefits of combining Ayurveda with conventional Parkinson's treatments. Learn how a holistic approach can manage symptoms, enhance well-being, and balance body energies. Discover the steps to safely integrate Ayurvedic practices into your Parkinson’s care plan, including expert guidance on diet, herbal remedies, and lifestyle modifications.
share - Lions, tigers, AI and health misinformation, oh my!.pptxTina Purnat
• Pitfalls and pivots needed to use AI effectively in public health
• Evidence-based strategies to address health misinformation effectively
• Building trust with communities online and offline
• Equipping health professionals to address questions, concerns and health misinformation
• Assessing risk and mitigating harm from adverse health narratives in communities, health workforce and health system
TEST BANK For Basic and Clinical Pharmacology, 14th Edition by Bertram G. Kat...rightmanforbloodline
TEST BANK For Basic and Clinical Pharmacology, 14th Edition by Bertram G. Katzung, Verified Chapters 1 - 66, Complete Newest Version.
TEST BANK For Basic and Clinical Pharmacology, 14th Edition by Bertram G. Katzung, Verified Chapters 1 - 66, Complete Newest Version.
TEST BANK For Basic and Clinical Pharmacology, 14th Edition by Bertram G. Katzung, Verified Chapters 1 - 66, Complete Newest Version.
TEST BANK For Basic and Clinical Pharmacology, 14th Edition by Bertram G. Katzung, Verified Chapters 1 - 66, Complete Newest Version.
- Video recording of this lecture in English language: https://youtu.be/kqbnxVAZs-0
- Video recording of this lecture in Arabic language: https://youtu.be/SINlygW1Mpc
- Link to download the book free: https://nephrotube.blogspot.com/p/nephrotube-nephrology-books.html
- Link to NephroTube website: www.NephroTube.com
- Link to NephroTube social media accounts: https://nephrotube.blogspot.com/p/join-nephrotube-on-social-media.html
Promoting Wellbeing - Applied Social Psychology - Psychology SuperNotesPsychoTech Services
A proprietary approach developed by bringing together the best of learning theories from Psychology, design principles from the world of visualization, and pedagogical methods from over a decade of training experience, that enables you to: Learn better, faster!
Basavarajeeyam is a Sreshta Sangraha grantha (Compiled book ), written by Neelkanta kotturu Basavaraja Virachita. It contains 25 Prakaranas, First 24 Chapters related to Rogas& 25th to Rasadravyas.
1. Control #1788
NeuroRads.org: eEdE #eEdE-157
Integrating ASNR
Resources with
the ABR Core
Exam of the Future
Michael A. Kadoch, M.D.
Yaacov Rydzinski, B.A., MS3
Cash Horn, M.D.
Serge Sicular, M.D.
Thomas J. Ward, M.D.
Micah G. Cohen, M.D.
3. Purpose
The purpose of the exhibit is to present an educational resource to
aid radiology residents preparing for the new ABR core exam.
ASNR resources (AJNR, Neurographics, Case of the Week, etc.)
are an invaluable resource for young trainees who may not yet be
aware of their utility for board exam preparation. NeuroRads.org will
integrate these resources with the specific neuroradiology
expectations of the new ABR core exam as outlined in the official
ABR core exam study guide. In addition, several web-based mobile
applications will provide the user with opportunities to review the
major imaging features of the most commonly tested entities.
4. Approach/Methods
All ASNR resources (AJNR, Neurographics, Case of the
Week, etc.) were surveyed exhaustively for integration with
the official ABR Diagnostic Radiology Core Examination Study
Guide. Select cases from our institution were included in the
development of web-based mobile applications.
5. Findings/Discussion
Neuroradiology training finds itself at a pivotal
crossroads, with the ABR Core Exam of the Future expected
to debut in the fall of 2014. It is critical that invaluable ASNR
resources are not overlooked by young trainees who will be
preparing for the new board examinations. By integrating the
most relevant of these resources with the ABR’s new exam
expectations, the next generation of radiologists will be
exposed to the outstanding educational resources available
through the ASNR.
6. Summary/Conclusion
NeuroRads.org will integrate ASNR resources with the ABR
core exam of the future to ensure that the next generation of
young radiologists preparing for board examinations are
exposed to the outstanding educational resources available
through the ASNR.
7. This exhibit may be viewed
in its entirety by visiting the
following URL on any
computer, tablet, or smart
phone:
http://www.neurorads.org