Talking to AI
Talking to AI

Fighting 15 Years of Golfer’s Elbow: Fresh Strategies from AI and the Latest Medical Research

22 December 2025 24:34 Paul Ayling

Listen to episode

About this episode

In this episode of Talking to AI, host Paul candidly explores his ongoing 15-year battle with chronic golfer’s elbow (medial epicondylitis). Despite years of persistence and trying nearly every conventional and alternative remedy—from barbell twists to infrared therapy and rice bucket exercises—Paul’s forearm tendon issues persist, interfering with his athletic endeavors and day-to-day comfort. Frustrated by recurring flare-ups and the elusive path to real healing, he turns to Grok, the AI co-host, for a truly deep dive using the latest science and fresh, out-of-the-box thinking.

Listeners are guided through a mixture of practical, evidence-based strategies that go beyond the usual advice. Grok unpacks recent medical research on eccentric loading, PRP injections, and emerging regenerative therapies, emphasizing slow, pain-free progress and real-world solutions for tracking improvement. The episode also explores the realistic hurdles of sourcing gradual weighted increments and navigating the Norwegian healthcare system for sports medicine treatments. The conversation balances hope with realism, highlighting next steps, when to scale back aggravating activities, and the importance of logging symptoms for long-term progress.

Whether you’re struggling with a stubborn injury or looking for smarter ways to leverage AI for health, this inside look at persistent problem-solving offers actionable tips and a spark of optimism for anyone facing a long-haul recovery.

🎙️ Hosted by Paul at Talking to AI — where real people, real problems, and real conversations meet artificial intelligence.

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 Talking to AI. All rights reserved.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.