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FTT Practice app

Revolutionizing Tennis Training with FTT Apps: Learn, Practice, and Play Anytime, Anywhere

Fast Track Tennis (FTT) is at the forefront of tennis innovation, offering a groundbreaking platform that combines advanced hardware, computer vision, and a rich learning ecosystem. The FTT suite consists of three apps: FTT Learn, FTT Practice, and FTT Play. Each app is designed to make tennis training more engaging, accessible, and fun. Here’s an…

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BioEnthesis: Revolutionary Tissue Implant for Rotator Cuff Repair

BioEnthesis: A Game-Changing Implant for Faster, Stronger Rotator Cuff Recovery

For fans, watching athletes excel in sports like football, basketball, and tennis is thrilling—until a serious shoulder injury, such as a rotator cuff tear, sidelines these top players. Such injuries can threaten careers, but a new innovation from Purdue University is changing the game in rotator cuff repair and recovery. BioEnthesis, a revolutionary tissue implant,…

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ATP Approves Wearable Devices for Enhanced Player Performance

ATP Greenlights Wearable Devices to Boost Player Performance and Injury Prevention

In a groundbreaking move, the ATP has approved the use of wearable devices during competition across both the ATP Tour and ATP Challenger Tour, starting July 15, 2024. This initiative signals a new era of data-driven performance analytics and enhanced injury prevention in tennis, offering players real-time insights to optimize their gameplay and long-term health….

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Slinger Bag Analytics App: Revolutionizing Tennis Performance with AI

Slinger Bag Analytics App: AI-Powered Tennis Insights for Next-Level Performance

Connexa Sports Technologies Inc., the company behind Slinger Bag and Gameface, has unveiled the beta version of its new Slinger Bag analytics app, a breakthrough tool designed to elevate tennis performance through AI-driven insights. Available for both iOS and Android, the app uses advanced Gameface Artificial Intelligence to analyze video footage uploaded from a smartphone…

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World Junior Tennis Female

AI-Driven Insights into Junior Female Tennis Players’ Path to Success

A recent study published in PLOS One used Artificial Intelligence (AI) and machine learning (ML) to analyze the career paths and game statistics of elite junior female tennis players. By exploring key tournament results and later professional rankings, the study aimed to uncover factors that significantly influence young athletes’ transition from junior to professional tennis,…

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