Tuesday December 10, 2019
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In need of a spa treatment? Head to this hospital in Kochi

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Kochi: In a bid to provide five-star comforts, a multi-speciality hospital in Kochi took it up a notch when it incorporated a full-service spa in it. The 670-bed Aster Medcity hospital has sure turned eyeballs through such initiative.

The hospital has now become the cynosure of all eyes and the spa’s clients include doctors, nurses, patients and their attendants and even walk-ins.

Popular beauty expert Elizabeth Chacko, with around four decades of experience in running a string of beauty clinics in Kochi, was amused when asked if she would be interested in setting up her beauty spa at the state-of-the-art private hospital.

“Somehow, everything fell into place and the management of the Aster Medcity, where I opened my sixth beauty spa, and myself are now pleased that this new concept has clicked,” Chacko, whose brand is Kalpana Family Salon and Spa, told reporters.

“The 2,000 square-foot spa opened in December and by now, I am happy that things are going well,” added Chacko who was educated outside Kerala and plied her beauty trade in Delhi, where she learned the nuances from a senior air force officer’s wife. Since then, there’s been no looking back.

Set on a beautiful 40-acre waterfront campus, Aster Medcity hospital has as its chairman Azad Moopen, a medical professional and founder of Aster DM Healthcare – the fastest growing healthcare group in the Middle East and Africa which is now worth more than $1.1 billion.

One advantage that this hospital has is that it caters to high profile patients, a huge majority are Keralites from the Middle East, besides nationals from there too.

At the spa, everything from facials to manicure, pedicure, hair treatment and what have you, is available to the clients.

“Of course, nurses and doctors do come, as do walk-ins and patients who come for rest and recuperation at the hospital. I give them a 15 percent discount,” said the ‘beauty clinician’, adding that 50 percent of her clients are neither hospital staff nor patients.

“See, I do run five other similar spas in Kochi and hence, I have a regular clientele,” Chacko said.

Trained in the US in electrolysis and cosmetology, Chacko said that even though she has given thousands of faces a glow-up, she is, however, more pleased that she has empowered many young women by giving them training and hands-on experience for a career of their own.

With her only daughter also now helping her in the business and with the new concept of a beauty spa in a hospital that has apparently clicked beyond expectations, she has now got similar offers not just from India but abroad too.(Sanu George, IANS) (picture courtesy: vattikutitechnologies.com)

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AI Can Better Help Doctors to Identify Cancer Cells in Human Body

The process of manually identifying all the cells in a pathology slide is extremely labor intensive and error-prone

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Cancer
The AI algorithm helps pathologists obtain the most accurate Cancer cell analysis - in a much faster way. Pixabay

Researchers at University of Texas Southwestern have developed a software tool that uses Artificial Intelligence (AI) to recognize Cancer cells from digital pathology images – giving clinicians a powerful way of predicting patient outcomes.

The spatial distribution of different types of cells can reveal a cancer’s growth pattern, its relationship with the surrounding microenvironment, and the body’s immune response.

But the process of manually identifying all the cells in a pathology slide is extremely labor intensive and error-prone.

“To make a diagnosis, pathologists usually only examine several ‘representative’ regions in detail, rather than the whole slide. However, some important details could be missed by this approach,” said Dr. Guanghua “Andy” Xiao, corresponding author of a study published in EbioMedicine.

A major technical challenge in systematically studying the tumor microenvironment is how to automatically classify different types of cells and quantify their spatial distributions.

The AI algorithm that Dr Xiao and his team developed, called “ConvPath”, overcomes these obstacles by using AI to classify cell types from lung cancer pathology images.

Cancer
Researchers at University of Texas Southwestern have developed a software tool that uses Artificial Intelligence (AI) to recognize Cancer Cells from digital pathology images – giving clinicians a powerful way of predicting patient outcomes. Pixabay

The ConvPath algorithm can “look” at cells and identify their types based on their appearance in the pathology images using an AI algorithm that learns from human pathologists.

The algorithm helps pathologists obtain the most accurate cancer cell analysis – in a much faster way.

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“It is time-consuming and difficult for pathologists to locate very small tumour regions in tissue images, so this could greatly reduce the time that pathologists need to spend on each image,” said Dr Xiao. (IANS)