If there is a technical exploration of the human body that the physician practice in any medical examination to diagnose or prescribe additional tests, it is palpation. The brain, however, has the distinction of being not possible to feel without a very invasive procedure (opening of the skull) reserved for rare cases. Drawing on seismology, researchers from Inserm led by Stefan Catheline (Inserm Unit 1032 ‘Applications of Ultrasound therapy’) have developed a non-invasive method of imaging of the brain by MRI which gives the same indications as physical palpation. A term may be used for early diagnosis of brain tumours or of Alzheimer’s disease. The Inserm researchers have managed, via MRI to detect natural brain shear waves using computational techniques borrowed from seismologists and known as ‘noise correlation.’ They were able to draw of brain elasticity image. ‘If this method can be developed in the clinic, it would be both a comfort for the patient and the doctor because today vibrating the brain is painful enough. Of course, this method will be complementary to the existing ones and the future is a multimodal medical diagnosis, ‘says Stefan Catheline, Senior Research Director Inserm author of this work. ‘Alzheimer’s disease, epilepsy, multiple sclerosis, hydrocephalus involve changes in the hardness of brain tissue. This new technique could detect those changes and be used to prevent brain biopsies.’ This method of brain palpation could have other application areas such as the analysis of the development of neurodegenerative processes, the impact of a traumatic injury or tumour, or the response to treatment.
Researchers from The University of Texas at Arlington have demonstrated that electrical conductivity can be an effective means to precisely measure the amount of blood present in dry blood spot analysis, providing a new alternative to the current preferred approach of measuring sodium levels. Dry blood spots are a pinprick of blood blotted on filter paper and allowed to air dry, which is then sent to a laboratory for analysis. Simple and inexpensive, dry blood spot analysis is routinely used to screen newborns for metabolic disorders and has also proven effective in diagnosing infant HIV infection, especially in developing countries where health budgets are limited. ‘Our new method, which involves using an electrode probe to measure electrical conductivity, has proven accurate to within one percent,’ said Purnendu Dasgupta, Hamish Small Chair in Ion Analysis and James Garrett Professor in UTA’s Department of Chemistry and Biochemistry. ‘It also has the considerable advantage of using up none of the sample where the currently preferred approach uses around half the sample.’
Dasgupta and his co-researchers used 12 volunteers aged 20 to 66, taking pinpricks of blood and letting the dry blood spot samples dry. They then took a 3 millimeter punch out of each dry blood spot, dissolved the punch in methanol and water mixtures and used a dip-type small diameter ring-disk electrode to measure the conductance of the samples, determining the minimum immersion depth that proved accurate in measuring the amount of blood to within one percent. ‘As analytical instrumentation has improved, dry blood spot analysis is becoming increasingly popular for clinical trials to monitor the effects of therapeutic drugs and for large-scale epidemiology and genetic studies, where it is vital to know the exact amount of blood in the sample,’ Dasgupta said. ‘Our new dip probe method offers clear advantages, but it does have the same problem as measuring sodium in that it does not function if the subject has abnormal electrolyte levels, which happens in some diseases.’
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Piezoelectric materials turn mechanical stress into electrical energy, and vice versa. In 1997, researchers developed piezoelectric materials that were 10 times better at coupling electrical and mechanical responses than prior state-of-the-art materials. But even scientists did not understand why the newer materials were so responsive. Now, scientists at the Department of Energy’s Oak Ridge National Laboratory and their research partners have used neutron scattering to discover the key to piezoelectric excellence in the newer materials, which are called relaxor-based ferroelectrics. (A ferroelectric material has electrical polarization that is reversed by application of an electric field.) Their findings may provide knowledge needed to accelerate the design of functional materials for diverse applications. Relaxor-based oxide ferroelectrics have revolutionized piezoelectric devices. In medical ultrasound, for example, the mechanical pressure of sound waves generates images of a person’s interior. Compared with the performance of traditional materials, the stronger response of relaxor-based ferroelectrics yields a more detailed electrical signal that produces better images. Instead of having somewhat blurry guidance from 2D images to diagnose a cause of pain, assess prenatal condition, guide a biopsy or assess damage after a heart attack, doctors now rely on finely detailed 3D imagery. These modern materials also made it possible to focus ultrasound waves for non-invasive medical treatments of conditions such as tumours or gallstones. This technology passes individual beams harmlessly through tissue; the beams converge on a target where their effects are concentrated, like light passing through a magnifying glass to ignite paper. ‘We figured out at an atomic level why certain materials are so great at mechanically responding to an electric field by changing shape or size,’ said lead author Michael Manley of ORNL. ‘The finding provides a basis for high-performance actuators and sensors.’ Compared to traditional polycrystalline materials, the newer piezoelectric crystals generate a greater mechanical force in response to an applied electric field.
Oak Ridge National Laboratory http://tinyurl.com/j57s466
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A new study shows that magnetic resonance imaging (MRI) scans are the safest and most effective way to identify high risk patients with cardiac chest pain. The research, funded by the British Heart Foundation (BHF), showed that cardiac MRI was better overall at predicting serious events, such as death or heart attack, following chest pain suspected to be angina. The researchers from the University of Leeds carried out a five-year follow-up study in 750 people, to find out the best way of separating patients based on whether they were at high- or low-risk of serious heart events. They compared MRI scans, a non-invasive test which does not use potentially dangerous radiation, with SPECT, a procedure which uses ionizing radiation and is commonly used in the diagnosis of coronary heart disease. Coronary heart disease (CHD), the world’s biggest killer, is responsible for nearly 70,000 deaths in the UK each year, an average of 190 people each day, or one death around every eight minutes. Most deaths from CHD are caused by a heart attack. CHD occurs when the vital arteries which serve the heart are narrowed or blocked by a build-up of fatty tissues. This can cause chest pain, or angina, which can lead to a heart attack if left untreated. When a person has suspected angina, they are most likely to be tested with either an X-ray angiogram, an invasive procedure which uses a type of radio-opaque dye to image the inside of the arteries, or SPECT, a non-invasive procedure which also involves ionizing radiation. Ionizing radiation is damaging to living cells. In contrast, MRI scans use strong magnetic fields and radio waves to produce a detailed image of the inside of the body, and are already widely used to help diagnose other medical conditions. The paper resulted from a large five year follow-up study and follows a series of papers from the original CE-MARC (Clinical Evaluation of MAgnetic Resonance imaging in Coronary heart disease) study. These papers have contributed to the growing body of evidence that cardiac MRI is the best option for the diagnosis and management of patients with coronary heart disease. Earlier evidence from this BHF-funded study also showed that MRI is more cost-effective than SPECT in the diagnosis of coronary heart disease. This research is expected to inform future clinical guidelines for the investigation of stable coronary heart disease. In doing so it could ease pressure on the NHS as only one hospital appointment is required for MRI, compared with two for SPECT. Professor John Greenwood from the School of Medicine, who led the research, said: ‘Although SPECT is currently more widely available than MRI, the use of MRI across a wide spectrum of diseases means that it will be much more readily available for heart disease investigation in coming years.
University of Leeds http://tinyurl.com/z7cc2ny
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Scientists at the University of Exeter have developed a pioneering new technique that could revolutionise the surgical treatment of epilepsy. The team of scientists, led by Dr Marc Goodfellow and Professor John Terry, have developed the ground-breaking new method that can identify the specific regions of the brain that trigger seizures in people with epilepsy.
The new technique is designed to help surgeons and neurologists measure the relative contribution to the occurrence of seizures made by different brain regions, and so determine which regions to remove to have most benefit to the individual.
At present, people with epilepsy are treated initially through medication, which aims to dramatically reduce or remove the threat of seizures. However anti-epilepsy drugs prove ineffective in around one-third of people. In these cases, patients can elect to undergo surgery to remove small parts of the brain – which does not impact healthy brain function – but which can help reduce the chance of experiencing seizures. Surgeons record electrical activity from the surface of the brain and study the electrical rhythms to attempt to identify the brain regions where seizures begin. However, current approaches are only partially effective with around 50% of people with epilepsy seeing significant long-term improvements following surgery. The new method devised by the scientists, which used state-of-the-art mathematical modelling procedures, can more accurately distinguish the brain regions that are the source of seizure activity from those that become involved as a result of a seizure starting.
Professor Terry, Director of the EPSRC Centre for Predictive Modelling in Healthcare and an expert in Biological Modelling from Exeter’s Mathematics department said: ‘This research has the potential to dramatically improve surgical success rates for those patients who need it, and so also dramatically improve their quality of life.
‘The potential is truly outstanding. It gives surgeons valuable information on how different brain regions contribute to seizures, enabling them to predict the outcome of different surgical strategies and so better plan surgery. ‘Imagine someone was in a theatre and sending text messages to random audience members, making their phones ring. Current techniques are in essence akin to removing those people who receive the messages – they are contributing to the disruption and so removing them could make a difference. But clearly it would be better to identify and remove the individual sending out the messages – the original source. That is what our methods achieve – identifying the original source.’
University of Exeterwww.exeter.ac.uk/news/featurednews/title_527678_en.html
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Agfa HealthCare has joined the Watson Health medical imaging collaborative, a global initiative comprised of more than fifteen leading health systems, academic medical centres, ambulatory radiology providers and imaging technology companies. The collaborative aims to bring cognitive imaging into daily practice to help doctors address breast, lung, and other cancers; diabetes; eye health; brain disease; and heart disease and related conditions, such as stroke. Members of the collaborative plan to put Watson to work to extract insights from previously invisible’ unstructured imaging data and combine that with a broad variety of data from other sources. In doing so, the efforts may help physicians make personalized care decisions relevant to a specific patient while building a body of knowledge to benefit broader patient populations. This information may include data from electronic health records, radiology and pathology reports, lab results, doctors’ progress notes, medical journals, clinical care guidelines and published outcomes studies. Initial plans include training Watson and evaluating potential new offerings in a variety of patient care environments ranging from stand-alone ambulatory settings to integrated health delivery networks. The aim in doing so is to gather data based on diverse real-world experience and to share findings to inform how the medical community might reduce operational and financial inefficiencies, improve physician workflows, and adopt a patient-focused approach to improving patient care and outcomes. ‘With an ability to draw insights from massive volumes of integrated structured and unstructured data sources, cognitive computing could transform how clinicians diagnose, treat and monitor patients,’ said Anne Le Grand, vice president of Imaging for Watson Health. ‘Through IBMs medical imaging collaborative, Watson may create opportunities for radiologists to extract greater insights and value from imaging data while better managing costs.’ James Jay, Vice President Imaging IT and Integrated Care Solutions businesses at Agfa HealthCare, elaborates: ‘We are very excited about the opportunity to collaborate with IBM and Watson. Healthcare systems are under enormous pressure to improve productivity; our combined expertise has the capability to harness the untapped power of technology to deliver the gains that have so far only been achieved in isolated use cases. Together we will look for ways to advance our customers’ ability to leverage the analytics power of Watson united with our own Enterprise Imaging platform, to assure that the right knowledge is available, at the right time, to help diagnose and treat their patients. We will be diving into specific use cases to turn the power of big data into real, tangible applications focused on specific improvements in either speed or accuracy of decisions.’ Watson is the first commercially available cognitive computing capability representing a new era in computing. The system, delivered through the cloud, analyses high volumes of data, understands complex questions posed in natural language, and proposes evidence-based answers. Watson continuously learns, gaining in value and knowledge over time, from previous interactions. In April 2015, the company launched IBM Watson Health and the Watson Health Cloud platform. The new unit will help improve the ability of doctors, researchers and insurers to innovate by surfacing insights from the massive amount of personal health data being created and shared daily. The Watson Health Cloud allows this information to be de-identified, shared and combined with a dynamic and constantly growing aggregated view of clinical, research and social health data.
http://tinyurl.com/hxnrlns
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Overconsumption of alcohol can lead to errors in judgment, causing, for example, some people to get behind the wheel when they are impaired. To help imbibers easily and quickly know when they’ve had enough, scientists have developed a flexible, wearable patch that can detect a person’s blood-alcohol level from his or her sweat. The monitor works quickly and can send results wirelessly to a smartphone or other device.
In the U.S., one person dies every 53 minutes in an alcohol-related car accident, according to the Centers for Disease Control and Prevention. Currently, ignition interlock devices are being marketed as a way to prevent drunk drivers from starting a car engine. But these are based on breath analysis, which can be affected by a number of factors including humidity, temperature and whether someone has used mouthwash. Recent research has demonstrated that sweat can be a more reliable real-time indicator of blood alcohol content. At least two transdermal sensors have been developed to measure alcohol levels in sweat, but users have to wait up to 2 hours for results. Joseph Wang, Patrick Mercier and colleagues at the University of California, San Diego, set out to make a more practical version.
With temporary-tattoo paper, the researchers developed a patch that tests blood alcohol content non-invasively in three rapid steps. It induces sweat by delivering a small amount of the drug pilocarpine across the skin. An enzymatic reaction leads to the electrochemical detection of the alcohol content. And a flexible electronic circuit board transmits the data via a Bluetooth connection to a mobile device or laptop. The steps take less than 8 minutes from start to finish. In addition to connecting to vehicles’ ignition interlock systems, the sensor could be a simple tool for bartenders, friends or law enforcement to use, the researchers say.
American Chemical Society www.acs.org/content/acs/en/pressroom/presspacs/2016/acs-presspac-august-3-2016/detecting-blood-alcohol-content-with-an-electronic-skin-patch.html
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Preeclampsia – the onset of high blood pressure resulting from pregnancy – is a leading cause of death and complications for women in the days following childbirth and discharge from the hospital. The sooner the doctors can detect the condition getting worse after delivery, the greater the chance there is of successful treatment with medication. However, since there is currently no effective way of predicting who is at-risk for increasing blood pressure, by the time worsening conditions are identified, patients often require more intensive care. Recent ACOG guidelines recommend blood pressure monitoring via routine follow-up office visits within 72 hours of discharge and again at seven to ten days after childbirth. However, as many as 70 percent of patients do not attend these first follow-up appointments. With this in mind, and based on data showing that young women have high rates of cell phone use and text messaging, the Penn team hoped to determine whether implementing a remote blood pressure monitoring system for patients diagnosed with preeclampsia would allow them to identify advanced cases and intervene before hospital readmission is necessary. ‘Platforms that take advantage of telemedicine technology allow clinical care teams to evaluate, diagnose and treat patients remotely, and have been well established as an effective means of delivering care across a variety of specialties,’ said lead author Adi Hirshberg, MD, a fellow in the department of Obstetricics and Gynecology at the Hospital of the University of Pennsylvania. ‘By monitoring blood pressure levels for our postpartum patients who are at home with new babies and can’t always get to office visits, we can provide a convenient and effective way of identifying those who are at risk for complications and may require follow-up care before the situation becomes critical.’ In the study, 32 patients previously diagnosed with preeclampsia were given blood pressure cuffs when discharged from the hospital after childbirth. For seven days following discharge, text messages were sent reminding patients to take a daily blood pressure reading and send the results to their care provider. Patients whose blood pressure was high were then asked to take additional readings. Eighty four percent of participants reported a blood pressure reading within 24 or 48 hours of discharge, and 65 percent continued reporting test results for at least five of the seven days. As a result of the reports, two patients were identified as having elevated blood pressure and were put on oral medications, but none of the participants required readmission to the hospital. ‘Our results show that remote blood pressure monitoring via text messaging is an effective, convenient and patient-centred way of identifying patients who could be at risk of developing potentially life-threatening complications related to the condition,’ said senior author Sindhu Srinivas, MD, MSCE, director of Obstetrical Services at the Hospital of the University of Pennsylvania.
Perelman School of Medicinehttp://tinyurl.com/j6xkp3q
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TAU researcher’s cutting-edge innovation pinpoints top candidates for assisted reproductive technology. More than 10percent of American women aged 15-44 struggle to conceive or maintain full-term pregnancies, according to the Centers for Disease Control and Prevention (CDC). Assisted reproductive technology (ART), through which eggs are fertilized with sperm in a lab and then returned to a woman’s uterus, is often the last resort for reproductively-challenged couples. But the physical, emotional, and financial toll they exact is high because the success rates of ART treatments are low – only 20-30percent, according to the CDC. New microscopic technology from Tel Aviv University promises to be a game-changer in the field of reproductive assistance. A team of TAU scientists have devised a new method of microscopy allowing scientists to perform clinical sperm analysis without the use of staining, which can affect the viability of sperm samples. Sperm cells are nearly transparent under standard microscopy methods. Their optical properties differ only slightly from those of their surroundings, resulting in a weak image contrast. Sperm cells cannot be stained, if fertilization is the goal, because the process might damage the resulting fetuses. The challenge is to pinpoint strong sperm candidates without staining, while still being able to characterize their viability. The research was led by Dr. Natan Shaked, PhD, of the Department of Biomedical Engineering at TAU’s Faculty of Engineering and his masters student, Dr. Miki Hifler, MD. Sperm cells for the study were obtained from the Male Fertility Clinic at Chaim Sheba Medical Center in Israel. There are two effective ART methods available today. The first is in vitro fertilization (IVF), in which a woman is treated with drugs that cause her ovaries to produce multiple eggs. These are placed in a Petri dish with a man’s sperm for fertilization for three to five days, then implanted in the woman’s uterus. The second is intracytoplasmic sperm injection (ICSI), in which a single sperm is injected into a mature egg and then transferred to a woman’s uterus. Dr. Shaked’s method is applicable to both methods, but is especially helpful in ICSI. ‘Until now, clinicians have chosen the best’ sperm according to their speed, but speed is not necessarily an indicator of DNA quality,’ Dr. Shaked says. ‘Some of the best sperm candidates are slow or even immobile because their tails have malfunctioned. If we can better determine the full structure and composition of the sperm, the success rate of ART treatments will be higher. Success means more births without congenital defects. In cases where sample staining is impossible – such as in vitro fertilization and ICSI – our device provides a promising new direction.’ His new device, a small ‘black box’ attached to an existing microscope, is smaller, cost-effective, and easier to align than conventional interferometric imaging methods. It is joined to new automated software that produces a thickness map of the sample and other physical parameters to evaluate the sperm’s viability in real time. Dr. Shaked believes his new imaging process, which harnesses phase imaging methods to record the passage of light through a sample to assess its thickness, can quantify the quality of sperm used in ART, leading to more successful ART treatments.
American Friends of Tel Aviv University http://tinyurl.com/h5665oc
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Using antidepressants during pregnancy greatly increases the risk of autism, Professor Anick Berard of the University of Montreal and its affiliated CHU Sainte-Justine children’s hospital revealed. Prof. Berard, an internationally renowned expert in the fields of pharmaceutical safety during pregnancy, came to her conclusions after reviewing data covering 145,456 pregnancies. ‘The variety of causes of autism remain unclear, but studies have shown that both genetics and environment can play a role,’ she explained. ‘Our study has established that taking antidepressants during the second or third trimester of pregnancy almost doubles the risk that the child will be diagnosed with autism by age 7, especially if the mother takes selective serotonin reuptake inhibitors, often known by its acronym SSRIs.’ Berard and her colleagues worked with data from the Quebec Pregnancy Cohort and studied 145,456 children between the time of their conception up to age ten. In addition to information about the mother’s use of antidepressants and the child’s eventual diagnosis of autism, the data included a wealth of details that enabled the team to tease out the specific impact of the antidepressant drugs. For example, some people are genetically predisposed to autism (i.e., a family history of it.) Maternal age, and depression are known to be associated with the development of autism, as are certain socio-economic factors such as being exposed to poverty, and the team was able to take all of these into consideration. ‘We defined exposure to antidepressants as the mother having had one or more prescription for antidepressants filled during the second or third trimester of the pregnancy. This period was chosen as the infant’s critical brain development occurs during this time,’ Prof. Berard said. ‘Amongst all the children in the study, we then identified which children had been diagnosed with a form of autism by looking at hospital records indicating diagnosed childhood autism, atypical autism, Asperger’s syndrome, or a pervasive developmental disorder. Finally, we looked for a statistical association between the two groups, and found a very significant one: an 87% increased risk.’ The results remained unchanged when only considering children who had been diagnosed by specialists such as psychiatrists and neurologists. The findings are hugely important as six to ten percent of pregnant women are currently being treated for depression with antidepressants.
University of Montreal http://tinyurl.com/zgflp3h
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