The same evening, the relative was taken for an MRI scan on the hospital premises. And hence the authorities could not escape their liability of compensating the family of Maru for the incident observed the bench. The family has demanded more than Rs 1 crore as compensation. The bench also held that all material evidence on record had led the court China water bottling machine Manufacturers to come to ‘strongly conclude’ that “but for the negligence of the hospital authorities, the unfortunate incident wouldnt have occurred”.The hospital and the BMC, however, opposed the plea filed by Maru’s family on the grounds that the FIR registered in the case and statements of witnesses, among other things, did not establish the reason why Maru had been sucked into the machine.According to the family, on January 28, 2018, Maru had gone to Nair to visit a relative admitted there.. The court will continue hearing the petition.The division bench of Justice Akil Kureshi and Justice S.

The bench also observed that the tragic accident was caused due to the negligence of the hospital authorities. There, as per protocol, Maru and his relative were directed to rid themselves of all metallic objects considering the presence of strong magnetic waves of the MRI machine. According to the plea, this ward boy had assured Maru that the MRI machine inside the room would be switched off and, therefore, there was no risk in carrying the cylinder inside. Kathawalla passed this order while hearing a petition filed by Maru’s family seeking compensation.Mumbai: In an interim order, the Bombay high court on Tuesday directed the Brihanmumbai Municipal Corporation (BMC) to give Rs 10 lakh as compensation to the family of Rajesh Maru, who died after being getting sucked into an MRI machine at the civic-run BYL Nair Hospital in 2018.However, the ward boy then asked Maru to carry an oxygen cylinder meant for his relative into the MRI scan room.J.A ward boy and a female attendant had accompanied Maru and his relative up to the ‘MRI lobby’ of the hospital.The court said pending the completion of the police probe into the case and the final hearing in the matter before it, the BMC must pay the compensation amount of Rs 10 lakh to the victim’s family through a five-year fixed deposit in a bank.

The few animals that are left have been put in small enclosures filled with rain and mucky water. However, Plant and Animals Welfare Society (PAWS) has alleged that animals living in the zoo have not been China automatic blowing machine kept in a clean environment because of which many of them are suffering from infections.”The BMC spends Rs 24 crore on maintenance of the zoo.The civic body-run Jijamata Udyaan, the only zoo in the city, has been undergoing renovation since March this year in an endeavour to provide better habitation to its animals, birds and reptiles alike.”. However, Mr Subramanian said he had his doubts about how it was being utilised. We take good care of them. We found that it had even kept sick animals in the enclosures for public view. Zoo authorities have, however, denied the claim and said a few animals had fallen sick and that too it was because of old age. Though the zoo authority does not allow plastic bottles inside the zoo premises, plastic waste, gutka pouches and cold drink bottle caps were seen strewn everywhere, including the enclosures. Some animals have died of old age; it has nothing to do with the living conditions. These are breeding grounds for mosquitoes.Sunish Subramanian from PAWS, Mumbai, said, “Most of the enclosures are empty.Dr Sanjay Tripathi, a veterinarian and deputy superintendent of the zoo.

Whether our hearts meet or not, we should walk holding hands, says Mallikarjun KhargeRepresenting the Congress at mega rally, Mallikarjun Kharge said party chief Rahul Gandhi and UPA chairperson Sonia Gandhi had sent their good wishes for the rally."Five years ago, people gave the mandate for the BJP."In Karnataka, it is an elected government but they want to manipulate and destabilise the Karnataka government. They are betraying the nation in a big way. BJP is offering bribes to MLAs in the state. I extend my support to Mamata Di on this show of unity and hope that we send a powerful message of a united India together," Rahul Gandhi wrote in the letter."Today, there is a feeling of fear in the country, there is a feeling of vengeance." Kejriwal added."The country is going through an unprecedented crisis with the exploitation of the poor, minorities and Dalits in the four-and-half-year rule of the BJP," the independent MLA from Gujarat said.

There is increased acceptance of AI in healthcare systems today. To quote the concluding remark at the largest radiologist conference in Chicago, RSNA 2018: “In the near future, Machines will not replace Radiologists, but a Radiologist using AI will replace Radiologists who don’t. It is well-established that early diagnosis is very critical in saving a life of a cancer patient. Use of Thermography for detecting breast abnormality was well known to doctors since decades. Their solution can detect cancer at a much earlier stage than traditional diagnostic methods and self-examination and can therefore improve survival rates. The core of Niramai software consists of novel computer algorithms based on Artificial Intelligence and Machine Learning that analyse thermal images and generate quantitative interpretation. Our ML algorithms now enable a low cost, easy to use, portable solution for detecting breast cancer which is effective in all ages of women and does not require expert skills to operate the system. So, just manual/visual interpretation to find early malignancies have earlier resulted in lots of false positives. The solution is also non-contact, non-invasive and privacy aware.Breast Cancer is the leading type of cancer in women. However, thermal images are very hard to interpret as there are 400,000 pixels per person and each of those pixels can be any of the 1000+ colors.

This method of breast cancer screening can detect tumors 5 times smaller than what clinical exam can detect, is non-contact, painless and free of any radiation, apart from being low-cost, and universally accessible. At NIRAMAI, engineers have developed a new cancer screening software that uses machine intelligence over thermography images to enable a low cost, easy to use, portable solution and requires minimal human supervision. Statistics show that the mean age of Indian women who get affected with breast cancer is much lower compared to western countries. Mammogram, the most common modality used for the diagnosis of the disease, has low sensitivity in women under 45 years of age and those with dense breasts. We bring in AI to this arena. Using this solution, women of all age groups can undergo frequent screening without any side-effects.DC: How does Niramai use Artificial Intelligence and Machine Learning to detect breast cancer? Niramai has developed a new patented technique called Thermalytix, a novel computer-aided diagnosis solution to automate detection of early stage breast malignancies.In order to create this technology, we collaborated with multiple reputed hospitals and China 72 cavity-Preform Mould Manufacturers expert radiologists and created a database of thermal images and associated ground truth using other standard modalities.NIRAMAI says “AI has the potential to revolutionise healthcare delivery”.

Niramai test works on women of all age groups, and does not involve any radiation unlike mammography.While ultrasound scans are good, they are largely subjective, and the results vary from radiologist to radiologist.DC: How the technology has evolved and how it benefits now and in future?GM: Breast cancer is the leading cause of cancer deaths in India, particularly among the urban population. Using computer vision techniques as well as raw temperature values, we are able to get accurate analysis of these thermal images.Dr Geetha Manjunath, CEO & CTO, Niramai, tells us more about how this technology works, how it can be effective, how it can be detected earlier and lastly, how the non-invasive can help more women around the world. AI has been used for improving operational efficiency of patient care delivery workflow in many large hospitals.Niramai solution uses off the shelf thermal cameras and in-house developed Thermalytix software to generate a thermal analysis report automatically, that a radiologist can review before making a final observation on the patient. Early detection of breast cancer is crucial and today’s technology can come to the rescue. According to WHO, one in every 8 women in US is at the risk of developing a breast abnormality in her life time.

Alphabet Inc’s Google and NASA said on December 14 that advanced computer analysis identified two new planets around distant stars, including one that is part of the first-star system with as many planets as Earth’s solar system.The research by Google and the University of Texas at Austin that used data from NASA raised the prospects of new insights into the universe by feeding data into computer programs that can churn through information faster and more in-depth than humanly possible, a technique known as machine learning.“As the application of neutral networks to Kepler data matures, who knows what might be discovered,” said Jessie Dotson, a NASA project scientist for the Kepler space telescope.The software’s artificial “neural network” combed through data about 670 stars, which led to the discovery of planets Kepler 80g and Kepler 90i.In this case, software learned differences between planets and other objects by analyzing thousands of data points, achieving 96 percent accuracy, NASA said at a news conference.Christopher Shallue, an artificial intelligence researcher at Google, and Andrew Vanderburg, an astronomer at the University of Texas at Austin, said they plan to continue their work by analyzing Kepler data on more than 150,000 other stars.

Advancements in hardware and new techniques for machine learning have made it possible in recent years for automated software to tackle data analysis in science, finance and other industries.“In my spare time, I started Googling for ‘finding exoplanets with large data sets’ and found out about the Kepler mission and the huge data set available,” he said. The latter, a scorching, rocky mass 30 percent larger than Earth, is the eighth planet found to be orbiting the same star.Astronomers had never before observed an eight-planet network beside the solar system that includes Earth, researchers said. “Machine learning really shines in situations where there is so much data that humans can’t search it for themselves..Machine learning had not been applied to data acquired by the Kepler telescope until Shallue came up with the idea, he said.”Vanderburg has received funding through a NASA fellowship aimed at distant-planet researchers.The data came from the Kepler telescope which NASA launched into space in 2009 as part of a planet-finding mission that is expected to end next year as the spacecraft runs China Semi automatic blow machine Manufacturers out of fuel.

March 26, 2020: Oral Cavity Semiconductor Laser Report by Material, Application, and Geography - Global Forecast to 2023 is a professional and in-depth research report on the world's major regional market conditions, focusing on the main regions (North America, Europe and Asia-Pacific) and the main countries (United States, Germany, united Kingdom, Japan, South Korea and China). 

The report firstly introduced the Oral Cavity Semiconductor Laser basics: definitions, classifications, applications and market overview; product specifications; manufacturing processes; cost structures, raw materials and so on. Then it analyzed the world's main region market conditions, including the product price, profit, capacity, production, supply, demand and market growth rate and forecast etc. In the end, the report introduced new project SWOT analysis, investment feasibility analysis, and investment return analysis.

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The report includes six parts, dealing with:

1.) Basic Information;

2.) Asia Oral Cavity Semiconductor Laser Market;

3.) North American Oral Cavity Semiconductor Laser Market;

4.) European Oral Cavity Semiconductor Laser Market;

5.) Market Entry and Investment Feasibility;

6.) Report Conclusion.

Table of Contents

Part I Oral Cavity Semiconductor Laser Industry Overview

Chapter One Oral Cavity Semiconductor Laser Industry Overview

1.1 Oral Cavity Semiconductor Laser Definition

1.2 Oral Cavity Semiconductor Laser Classification Analysis

1.2.1 Oral Cavity Semiconductor Laser Main Classification Analysis

1.2.2 Oral Cavity Semiconductor Laser Main Classification Share Analysis

1.3 Oral Cavity Semiconductor Laser Application Analysis

1.3.1 Oral Cavity Semiconductor Laser Main Application Analysis

1.3.2 Oral Cavity Semiconductor Laser Main Application Share Analysis

1.4 Oral Cavity Semiconductor Laser Industry Chain Structure Analysis

1.5 Oral Cavity Semiconductor Laser Industry Development Overview

1.5.1 Oral Cavity Semiconductor Laser Product History Development Overview

1.5.1 Oral Cavity Semiconductor Laser Product Market Development Overview

1.6 Oral Cavity Semiconductor Laser Global Market Comparison Analysis

1.6.1 Oral Cavity Semiconductor Laser Global Import Market Analysis

1.6.2 Oral Cavity Semiconductor Laser Global Export Market Analysis

1.6.3 Oral Cavity Semiconductor Laser Global Main Region Market Analysis

1.6.4 Oral Cavity Semiconductor Laser Global Market Comparison Analysis

1.6.5 Oral Cavity Semiconductor Laser Global Market Development Trend Analysis

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Chapter Two Oral Cavity Semiconductor Laser Up and Down Stream Industry Analysis

2.1 Upstream Raw Materials Analysis

2.1.1 Proportion of Manufacturing Cost

2.1.2 Manufacturing Cost Structure of Oral Cavity Semiconductor Laser Analysis

2.2 Down Stream Market Analysis

2.2.1 Down Stream Market Analysis

2.2.2 Down Stream Demand Analysis

2.2.3 Down Stream Market Trend Analysis

Part II Asia Oral Cavity Semiconductor Laser Industry (The Report Company Including the Below Listed But Not All)

Chapter Three Asia Oral Cavity Semiconductor Laser Market Analysis

3.1 Asia Oral Cavity Semiconductor Laser Product Development History

3.2 Asia Oral Cavity Semiconductor Laser Competitive Landscape Analysis

3.3 Asia Oral Cavity Semiconductor Laser Market Development Trend 

Chapter Four 2014-2019 Asia Oral Cavity Semiconductor Laser Productions Supply Sales Demand Market Status and Forecast

4.1 2014-2019 Oral Cavity Semiconductor Laser Production Overview

4.2 2014-2019 Oral Cavity Semiconductor Laser Production Market Share Analysis

4.3 2014-2019 Oral Cavity Semiconductor Laser Demand Overview

4.4 2014-2019 Oral Cavity Semiconductor Laser Supply Demand and Shortage

4.5 2014-2019 Oral Cavity Semiconductor Laser Import Export Consumption

4.6 2014-2019 Oral Cavity Semiconductor Laser Cost Price Production Value Gross Margin 

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