Author name: WhatNext

WhatNext is an ecosystem of industry experts, start-ups, and technology adoption enablers with the singular purpose of helping cope with the onslaught of rapid transformation caused by technological advancements and evolving market dynamics.

AI in Psychiatry - WhatNext

AI in Psychiatry – Detecting Mental Illness Using AI

Advancement in artificial intelligence has designed smart algorithms that support clinicians with early detection and diagnostics of various types of mental health issues. These algorithms can analyze data much faster than humans, suggest possible treatments, monitor a patient’s progress, and alert human professionals to any concerns. Neuroscientists and clinicians around the world are using machine …

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Future of Genome Editing - WhatNext

Future of Genome Editing – Looking Beyond CRISPR

Genome editing (GE) has revolutionized biological research through its ability to precisely edit the complete set of genes or genetic material present in a cell of living organisms, including humans, plants, animals, and microbes. In recent years, various GE tools have been explored to edit both simple and complex genomes. It can be used either …

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Metal 3D Printing - WhatNext

Metal 3D Printing – Current State and Future Potential

You may have heard the term ‘metal 3D printing’ being thrown around in recent years. Since its inception, the concept has proven its worth in the development of both prototypes and industrial end-use parts and is slowly making its way into regulated industries such as aerospace, medical, and defense. The reality is that metal 3D …

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Dental Care using AI - WhatNext

Transforming Dental Care using AI

AI is modernizing the traditional aspects of dentistry. AI-based systems are often used for designing automated software programs that streamline the diagnosis and data management in dentistry. Mostly they are used as clinical decision support systems that assist and guide experts to make better decisions. These systems have been used for better diagnosis, treatment planning, …

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AI-based Digitalized Clinical Trials - WhatNext

AI-based Digitalized Clinical Trials – The In-Silico style

For the healthcare sector, clinical trials cost billions of euros and often proceed for years without any guarantee of success after the study. It is a method to assess a drug or medical device’s effectiveness in a clinical setting but is very expensive due to complicated clinical protocol and strict record-keeping. Artificial intelligence techniques are …

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AI to Eradicate Prescription Errors - WhatNext

Artificial Intelligence to Eradicate Prescription Errors

Scientists worldwide are working on harnessing cutting-edge AI techniques to make a mark on patient safety. Be it in a pharmacy, hospital, or managed care facility, the focus is on eliminating medication errors. According to a recent survey, 7,000 to 9,000 people die each year due to a medication error in the United States alone. …

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Sensors in Healthcare - WhatNext

The Explosion of Wearable Sensors in Healthcare

Healthcare is in the midst of a transition from conventional medicine to a patient-centric, consumer-led model. Earlier, a doctor would diagnose and plan the treatment based on a fragmented medical history or medical records. However, with the advent of wearable technologies and sensors, it is possible to generate rich data sets that would enable health …

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The Internet of Teeth - WhatNext

The Internet of Teeth: Dentistry The Smart Way

Digitalization, cloud technology, and new generations of smart-phones and other devices with integrated apps help patients track their diseases continuously. Activity trackers, smartwatches, glucose monitors, and other wearable biosensor technology have become a part of our lives. Like any other healthcare sector, Dentistry also has entirely transformed due to the establishment of computer-based advanced technologies, …

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Medical Image Processing using AI - WhatNext

Medical Image Processing using AI

Artificial intelligence (AI) has been widely documented in healthcare, and medical imaging is one of its most promising applications. The data from the images provide clinicians with an abundant and intriguing source of information about patients. The computerized algorithms and pattern recognition abilities of AI are increasingly helping medical practitioners make an accurate diagnosis and …

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