The Tech Between Us Podcast: The Rise of Digital Therapeutics

Jessica Miley

15 Dec, 2023

The Tech Between Us Podcast: The Rise of Digital Therapeutics

Digital therapeutics are transforming the way we approach medicine and patient care.

artificial intelligence

- healthcare

- IoT

- System Software

Gone are the days when face-to-face consultations were the only option. The digital age has ushered in telemedicine, a convenient and often preferred alternative. This shift is not just about convenience; it's a fundamental change in how healthcare services are delivered and received. In this recent episode of the Mouser ELectronic podcast, The Tech Between Us, host Raymon Yin delves into an insightful conversation with Dr. Smit Patel, Associate Program Director of the Digital Medicine Society (DiMe Society).

In the first part of this conversation, Raymond explores the latest technologies and promising developments in the field of Digital Therapeutics, where technology and medicine converge to empower individuals in optimizing their health and well-being.

Digital Therapeutics: A New Frontier in Treatment

Perhaps the most exciting development in healthcare is in the field of digital therapeutics. These tools allow patients to access cognitive behavioral therapy and support right from their phones. This innovation is particularly impactful in addressing issues like opiate cravings during times when traditional medical support is unavailable. However, Digital therapeutics are not limited to one area of healthcare. The field is rapidly expanding beyond its initial focus on diabetes to explore treatments in smoking cessation, oncology, insomnia, and more. This expansion signifies a broader application of digital solutions in healthcare.

A digital approach to ADHD

One notable innovation is Akili Interactive's EndeavorRx, a video game designed for ADHD treatment, now expanded to the adult population. This concept is not just a testament to the creativity in the field but also to the vast potential of digital therapeutics.

Learn more about these fascinating technologies by listening to the episode above.

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Understanding Apache Kafka

Apache Kafka is a popular open-source distributed streaming platform that was developed by the Apache Software Foundation (Kafka, 2023). It is used to build real-time data pipelines and streaming applications that handle large volumes of data.

09 Aug, 2023

Introduction

Apache Kafka is a popular open-source distributed streaming platform that was developed by the Apache Software Foundation (Kafka, 2023). It is used to build real-time data pipelines and streaming applications that handle large volumes of data. Apache Kafka is designed to provide scalable, reliable, and fast data services making it a popular choice for data engineers and software developers. In this blog post, we will discuss what Apache Kafka is, how it works, and its pros and cons especially for the autonomous vehicle industry.

What is Apache Kafka?

Apache Kafka is a distributed streaming platform that was first released in 2011. It is built on top of the Apache ZooKeeper, which is a centralized service for maintaining configuration information, naming, providing distributed synchronization, and providing group services. It is designed to handle high volumes of data and provide real-time access to that data.

Apache Kafka is a publish-subscribe-based messaging system, which means that producers publish messages to topics, and consumers subscribe to those topics to receive messages. It also provides support for multiple consumer groups, which allows consumers to read messages in parallel. This makes it a highly scalable messaging system that can handle large volumes of data with low latency.

Advantages of Apache Kafka

Apache Kafka has several advantages over traditional messaging systems.

Scalability: Apache Kafka is highly scalable and can handle large volumes of data. Kafka can reliably process and store petabytes of data, making it a popular choice for large-scale data processing.

Real-time Access to data: It provides real-time access to data, which means that consumers can receive data as soon as it is produced. This makes it ideal for real-time data processing applications, such as fraud detection, real-time analytics, and monitoring.

Fault-tolerance: Apache Kafka is designed to handl

Image: Image credit: Amazon

Case Study: Embedded Artificial Intelligence Unleashes Smart Shopping

Understand how embedded AI is changing the way we shop

Ifeoluwa Adekoya

31 Oct, 2022

artificial intelligence

- embedded software

The concept of smart shopping has been in the works since the internet first entered the retail scene—shaking up the shopping experience and making eCommerce^[1] mainstream. Retail is changing and evolving, and several advanced computer technologies are beginning to influence the way we shop not only online, but in brick-and-mortar stores too.

‘Smart shopping’ can refer to multiple things from data-backed advertising campaigns and price comparison websites to contactless shopping in retail stores. In all cases, its end goal is the same—to make shopping easier, faster, and cheaper.

The focus of this article is hardware-enabled smart shopping—particularly how retail businesses can apply Artificial Intelligence-powered microprocessors to checkout systems and devices to improve the shopping experience for customers and sellers.

A short introduction to embedded Artificial Intelligence

Artificial Intelligence (AI) is the capacity of machines, computers, software, and other devices to simulate the human problem-solving approach and decision-making process by mimicking human intelligence, learning, and actions^[2].

In essence, AI is a comprehensive tool that uses biologically-similar technology to receive, combine and evaluate data while applying the processed information to accomplish tasks and make better decisions. These biologically similar tools include computer vision and neural network technology—concepts that are central themes in this article.

Embedded AI is a type of Artificial Intelligence system that impleme