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AI-based digital sleep solution, dayzz, challenges traditional sleep treatment model following a Carmel Hospital pilot study showing an increase of 30 minutes sleep time by users.

dayzz is undoubtedly breaking boundaries as a treatment for insomnia, with a recent pilot study conducted by Carmel Hospital further substantiating this claim. According to the study, which was funded through the Israeli Innovation Authority, dayzz boosts CPAP use by 30 minutes nightly, challenging the traditional sleep treatment models by developing an innovative science-based approach and streamlining the treatment process for CPAP users.

dayzz’s innovative sleep solution is revolutionary for CPAP users,” says Professor Giora Pillar, Director of the Sleep Disorder Clinic at Carmel Hospital. “By enhancing traditional sleep treatment with remote digital care, patients are actually able to get the comprehensive treatment and ongoing support they need for their sleep disorder.  It is a true collaboration between healthcare organizations such as ours and tech innovation, placing the patient and their needs in the center.” 

Amir Inditzky and his team are looking to help more people across the globe with the introduction of dayzz, an AI-based end-to-end digital sleep resolution. The research performed in partnership with Carmel Hospital’s Sleep Dysfunction Middle, led by Professor Giora Pillar, revealed that individuals who used the dayzz app noticed a rise of their nightly CPAP use by a median of half-hour per evening.

Past the incorporation of an revolutionary digital resolution as a primary line of sleep assist inside the conventional healthcare system, the collaboration revealed some distinctive alternatives to enhance the effectivity and efficacy of the present sleep care journey,” says Dr. Mairav Cohen-Zion, Chief Science Officer at dayzz. “This distinctive pilot research emphasised that embedding digital-based options in conventional healthcare can present not solely vital worth to sufferers and elevated accessibility but additionally considerably cut back the burden on the healthcare system and allow streamlined processes.”   

dayzz allows boosting CPAP use at house, decreasing the burden of high-touch sleep apnea administration on the healthcare system and giving sufferers a greater expertise. The launch of the answer is especially well timed, as OSA stays one of the frequent sleep problems, with an estimated 54 million American adults affected by delicate to extreme types of OSA. Consequently, hundreds of thousands of individuals in America and different components of the world are severely impacted of their temper and energy ranges, household functioning, work efficiency, and high quality of life. Steady Airway Stress (CPAP) remedy is without doubt one of the greatest therapies for OSA. Nevertheless, 30 to 60 p.c of sufferers fail to make use of the machine, which is the place dayzz goals to make a distinction.

The dayzz app is well built-in into the lives of sufferers, leveraging information from wearables, smartphone sensors, and linked gadgets to make distant sleep care extra accessible and environment friendly. Utilizing dayzz helps to scale back the burden on the affected person to enter essential information whereas enabling fixed changes of the therapy plan primarily based on the consumer’s therapy progress and private information.  The app can also be designed to empower sufferers to set their very own tempo, including the next degree of personalization, making sufferers extra prone to adhere to a sleep plan, and boosting the possibilities of therapy success.  

For additional details about dayzz and the best way to leverage its options and performance, go to – https://www.dayzz.com/. dayzz can be discovered throughout social media, together with Twitter and LinkedIn.

 About dayzz

dayzz is an revolutionary app primarily based on actual scientific analysis that gives end-to-end sleep options for a lot of sleep issues. Via its cellular app powered by AI together with human sleep trainers, machine integration, and supporting content material, together with experiences, dayzz is a one-stop store enabling people to seek out one of the best resolution for his or her sleep issues and permits organizations to advertise more healthy and extra productive work setting for his or her staff.









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Game-changer AI tool will save mothers and babies

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Game-changer AI tool will save mothers and babies

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A brand new prototype AI diagnostic check for pre-eclampsia developed by a multi-disciplinary Irish group will hopefully save hundreds of lives world wide.

Preeclampsia impacts 1 in 10 pregnancies and causes the deaths of at the least 50,000 moms and 500,000 infants worldwide yearly. It’s a critical being pregnant complication and prognosis stays a major problem.

Utilizing cloud-based expertise, an Irish group has now developed a prototype AI-based machine studying instrument that has proven nice promise in figuring out pre-eclampsia when it develops, and the way extreme it would turn out to be. Medical groups will be capable of use this instrument – AI_PREMie – to hopefully make important life-saving choices for infants and moms in real-time.

AI_PREMie is a high-quality speedy pre-eclampsia prototype check born of mixed biomedical, medical and machine studying know-how. It’s utilising the SAS Viya analytics engine operating on Microsoft Azure to assist establish ladies with pre-eclampsia.

Making an attempt to establish pre-eclampsia biomarkers in a mom’s blood is like on the lookout for a needle in a haystack, says Prof Patricia Maguire, Professor of Biochemistry at College Faculty Dublin. The AI_PREMie algorithm will hopefully allow the medical group to establish ladies with pre-eclampsia and the way extreme it’d turn out to be, rapidly and simply.

Prof Maguire is main on the AI_PREMie challenge with advisor haematologist Professor Fionnuala Ní Ainle and the supervisor of the College Faculty Dublin AI for Healthcare Hub, Dr Paulina Szklanna. Their multidisciplinary group additionally entails knowledge scientists from UCD in addition to obstetricians and lab scientists from all Dublin maternity hospitals – Nationwide Maternity Hospital, the Rotunda Hospital and the Coombe Maternity Hospital.

Defending and saving at-risk infants

The one ‘remedy’ for pre-eclampsia is supply of the newborn, however that’s usually pre-term and untimely infants can face many well being challenges. A minimum of 5 million infants worldwide are born prematurely yearly because of pre-eclampsia they usually account for an enormous proportion of annual admissions to neonatal intensive care items.

AI_PREMie may be helpful in direction of predicting whether or not a lady will progress to extreme pre-eclampsia, allowing a extra correct timing of supply, and probably permitting a child to stay in utero for a number of extra treasured hours or days, impacting their survival probabilities and their long-term well being.

The choice generally is a troublesome one, healthcare professionals should resolve: whether or not to ship a child because of concern over the mom’s security, or to maintain child in-utero for so long as attainable

That is in response to Assoc. Prof Jennifer Donnelly, of College Faculty Dublin and Guide Obstetrician, on the Rotunda Hospital, and a member of the AI_PREMie group.

A future easy-to-use real-time instrument

AI_PREMie makes use of highly effective machine-learning algorithms to mix distinctive biochemical indicators with medical details about sufferers, resembling blood assessments, demographics and medical opinion.

Not solely will the check hopefully extra precisely diagnose pre-eclampsia, however it might additionally predict the longer term severity of illness. That danger stratification means the medical group can time the newborn’s supply with extra accuracy. The extra time the group can provide the newborn within the womb, the higher the newborn’s probability of survival and optimum long-term neurodevelopment.

Sooner or later, by performing their evaluation utilizing normal tools within the hospital lab in addition to within the cloud, the group consider that AI_PREMie will return an simply interpretable danger rating inside a couple of hours to help medical decision-making in real-time.

Set to revolutionise being pregnant care

The molecular biomarkers underlying AI_PREMie gained the UCD NOVA Invention of the 12 months in 2021. The check remains to be within the analysis part and is at the moment being piloted in three Dublin maternity hospitals, capturing 50% of all Irish births.

This instrument will fill a long-standing hole in maternal healthcare, with the group behind it believing it would turn out to be a part of being pregnant screening programmes globally inside 5 years. The usage of superior cloud expertise implies that AI_PREMie will frequently study and evolve as soon as it’s carried out into widespread medical observe.

This may scale back prices to the well being service. In Eire, for instance, a pre-eclamptic being pregnant has usually price the well being service greater than twice an uncomplicated being pregnant, with the nationwide price of pre-eclampsia estimated at €9.1m.

Survivors of preeclampsia have a lifelong elevated danger of creating different persistent illnesses, resembling coronary heart and vascular illness. Actually, preeclampsia is related to a fourfold elevated danger of creating kidney failure inside 10 years after being pregnant. This danger is elevated even additional by having a couple of preeclamptic being pregnant, a low-birthweight offspring, or a preterm supply. Subsequently, any enchancment in medical decision-making can have huge preventative potential on the long-term well being of the inhabitants and future healthcare useful resource necessities.

The impression of AI_PREMie might be a game-changer in tackling pre-eclampsia. As a clinician, I can’t wait to make use of it as a part of our care.

So says Professor Mary Higgins, UCD College of Drugs, College Faculty Dublin, who’s a advisor obstetrician on the Nationwide Maternity Hospital, Dublin and Societal Champion on the AI_PREMie group.

Uncover how you can harness the facility of machine studying with Microsoft Azure.

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4 Ways Penetration Testing Services Help Protect Your Business Data

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4 Ways Penetration Testing Services Help Protect Your Business Data

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Penetration testing is a security exercise where a white-hat hacker hacks into your computer system to check for any vulnerability that could compromise the confidentiality of your business data. The white-hat hacker will use internal and external attacks on your network devices, servers, intranets, web applications, and wireless networks. 

After hacking your system, the white-hat hacker will generate a report of their findings and recommend effective security controls. Here are four ways penetration testing can help protect your business data. 

A High-Level Management Report 

Penetration testing services reveal weaknesses in your laptop system, networks, and functions. After hacking your system, a white hat hacker will generate a high-level administration report detailing the vulnerabilities and problematic entry factors. The report may even include measures which you could take to maintain what you are promoting information safe and reduce safety dangers. 

The outcomes of a penetration check might differ in response to your white-hat hacker’s talent, energetic or inactive firewalls, the period of the check, and system adjustments throughout the check. To make sure that you get a complete report, work with a seasoned white-hat hacker who can carry out a number of assessments to seek out all of the weaknesses in your techniques. 

Penetration Testing Providers Present an In-Depth Technical Overview Doc 

Penetration testing providers present an in-depth technical evaluate doc that features a complete record of the findings, in addition to the technical particulars of vulnerabilities. By going by the technical evaluate doc, you may uncover points that pose essentially the most hazard to your techniques and community. Thereafter, you can begin implementing measures that work to guard what you are promoting information, together with {hardware} upgrades, software program upgrades, or configuration adjustments.

Actionable Insights Prioritized by Impression

Penetration testing providers generate actionable insights. For starters, penetration testing reveals weaknesses in your techniques and networks and consists of strategies for {hardware} and software program upgrades to guard what you are promoting information. 

Secondly, penetration testing reveals hackers’ strategies. One of many predominant objectives of white hat hackers is to launch actual assaults in your techniques and networks utilizing black-hat strategies. After discovering weaknesses, white-hat hackers exploit these weaknesses that will help you determine areas of your techniques and networks that have to be improved. 

Thirdly, penetration testing assessments what you are promoting’s response to actual cyber threats. When you know the way what you are promoting responds to cyber threats, you may put together instruments and techniques to stop and mitigate assaults and preserve what you are promoting information safe.   

Help To Repair What Wants To Be Mounted in a Well timed Method

Penetration testing providers enable you to determine and repair the system and community points in a well timed method. If, for instance, findings from the penetration check present that there are issues in your networks, you may repair these issues shortly by strengthening what you are promoting’s safety posture both by closing unused ports or eliminating all safety loopholes. This fashion, you remove the issues earlier than black hat hackers can exploit them.

Attempt Out Penetration Testing Providers

Penetration testing will help you assess what you are promoting’s well being. A penetration check will present you ways profitable or unsuccessful a cyber assault on what you are promoting might be and recommend methods by which you’ll be able to protect delicate enterprise information and develop efficient safety measures. Conduct a penetration check in the present day to make sure what you are promoting information is protected against intruders.








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Applying Visual AI to Legacy Security Systems

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Applying Visual AI to Legacy Security Systems

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Safety inspections are a part of trendy life. For instance, roughly 2.9 million passengers fly out and in of U.S. airports day by day based on the Federal Aviation Administration (FAA). More than 150 million Individuals attend skilled sporting occasions yearly. At occasions like these, efficient and environment friendly screening of attendees for weapons and contraband should happen to maintain people protected whereas offering a excessive degree of service.

Artificial intelligence (AI) can speed up inspections by automating some opinions and prioritizing others, and in contrast to people on the finish of an extended shift, an AI’s efficiency doesn’t degrade over time. This weblog put up will display how the DataRobot staff utilized DataRobot’s Visual AI and AutoML capabilities to quickly construct fashions able to detecting firearms in luggage utilizing open-source databases of X-ray safety scans.

Dataset and Modeling Course of

The coaching dataset used to coach the AI model accommodates roughly 5,000 X-ray safety photographs. Of the full dataset, roughly 30% of the photographs embrace a firearm. Of word, DataRobot can construct each multilabel and multiclass (e.g. figuring out a number of objects in an X-ray) predictions. For this instance, we solely use binary classification—does this bag comprise a firearm or not? 

Examples of X ray photographs with firearms

There’s variability within the photographs used to coach the fashions as a result of they have been taken utilizing three several types of safety X-ray machines. This variability takes the type of decision ranges and background noise within the photographs. Though this degrades remaining mannequin efficiency, DataRobot overcomes this impediment and nonetheless creates excessive performing fashions by mechanically making use of trade greatest practices by means of modeling blueprints

One other impediment to creating excessive performing pc imaginative and prescient fashions is that coaching datasets could not comprise enough photographs of the goal object with totally different backgrounds and from totally different instructions. This knowledge deficiency could cause the mannequin to fail to acknowledge the goal object (e.g., firearms) when scoring new photographs. DataRobot’s Visible AI supplies a simple approach to overcome this object with automated image augmentation. Picture augmentation flips, rotates, and scales photographs to extend the variety of observations for every object within the coaching dataset and will increase the likelihood that the mannequin accurately identifies objects when scoring new data.

Image Augmentation Examples
Picture Augmentation Examples

Auto-generated activation maps enhance explainability by illustrating which areas of a picture are most essential for a mannequin’s predictions (much like feature impact on different fashions). DataRobot’s AutoML mechanically builds and compares a whole bunch of mannequin blueprints to seek out the most effective performing mannequin for figuring out firearms. On this instance, the successful blueprint was a neural community classifier that was constructed and not using a requirement for costly processors like GPUs.

After just a few hours, DataRobot skilled and validated a mannequin that’s about 90% correct at figuring out photographs containing firearms. With extra tuning, this mannequin efficiency can nonetheless be considerably elevated. For instance, a company searching for to attenuate false negatives (e.g., failing to determine firearms in X-rays) can change prediction thresholds to optimize for this criterion. 

Training and validating a model that is about 90 accurate
Coaching and validating a mannequin that’s about 90 correct

Conclusion

DataRobot’s mixture of capabilities permit customers to construct and deploy a high-performing visible AI objection detection mannequin in just a few hours with no coding. This mannequin might be rapidly improved with extra superior tuning and deployed to cloud-connected or edge environments. Making use of DataRobot to this drawback doesn’t require new safety scan machines and exhibits how organizations can apply superior Visible AI capabilities to present infrastructure for speedy safety enhancements. Contact a member of the DataRobot staff to study extra and see how your group can develop into AI-driven.

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