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Students of IIT Kharagpur Develop AI App to Lend Support for Elderly Care

While one of these apps can be installed on the phones of the elderly, the other can be attached to the smartphone

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IIT, AI, Elderly Care
The app named 'CARE4U', developed by an interdisciplinry team of 2nd year B.Tech students, connects the caregiver to the elderly. Pixabay

Aiming to lend support to geriatric care by aiding caregivers to reach out to the aged on time, students of the Indian Institute of Technology (IIT) Kharagpur have developed two interconnected android smartphone applications, an official said on Monday.

The app named ‘CARE4U’, developed by an interdisciplinry team of 2nd year B.Tech students, connects the caregiver to the elderly. While one of these apps can be installed on the phones of the elderly, the other can be attached to the smartphone of the caregiver.

“The neural network-based fall detection algorithm in the app installed on the phone of the elderly can detect whether the elderly has fallen down. If there is a fall, it automatically calls the caregiver and emergency services with the location of the elderly person,” a statement said.

The other features include detecting emotion by taking a picture and calculating the mood index. To make this feature more effective the team has developed a cognitive intelligent chatbot for the elderly person to engage with.

IIT, AI, Elderly Care
Aiming to lend support to geriatric care by aiding caregivers to reach out to the aged on time, students of the Indian Institute of Technology (IIT) Kharagpur have developed two interconnected android smartphone applications, an official said on Monday. Pixabay

“We customized it to recognize the current mood of the person and, accordingly, fine-tune its conversations with that of the person. For example, the chatbot can recommend a motivational quote or an old song when the person is sad,” said team member Kanishka Haldar from the Department of Electronics and Electrical Communication Engineering.

Moreover, the app can also do other activities like make a call, send a text, book a cab and so on. It also has a record of medical histories, an account of allergies, an SOS button, real-time location tracking, among others.

The ‘CARE4U’ app includes a ‘Medicine Reminder’ feature to remind both the elderly person as well as the caregiver that it is time for the former to take medicine.

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The app recently won the IIT Kharagpur team the first runners-up position at a nationwide hackathon called vesAIthon’19. (IANS)

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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)