This type of community runs on collaboration and engagement, help us help you! For the clinicians, let me know your most difficult case from this week! For the athletes/trainees, what movement is giving you the most issues in your programming?

Coverage: September 5–11, 2026, using online-first dates. One September 4 preprint is included as a late-indexed carryover. No publication this week is independently practice-changing. The load-management review is the most important cautionary read; the probiotic trial is the most practically relevant nutrition paper but needs replication. 1. Artificial intelligence and wearable technology in athlete load management and injury prediction: a systematic literature review BMC Sports Science, Medicine and Rehabilitation, September 10, 2026 Type: Systematic literature review Full article and DOI Methods and findings: The author searched PubMed, Web of Science, and IEEE Xplore under PRISMA guidance and synthesized 87 studies using wearable data and artificial intelligence for athlete monitoring or injury prediction. Deep-learning models reportedly reached accuracy values of 87–91% and ROC-AUC values as high as 0.94. Multimodal sensor inputs generally outperformed single-sensor approaches. Major recurring limitations included heterogeneous definitions and data-collection protocols, class imbalance because injuries are uncommon relative to noninjury observations, limited interpretability, interathlete variability, and inadequate external or longitudinal validation. Evidence strength: Low-to-moderate for technical model performance; very low for improving athlete outcomes. This is a broad evidence map, but performance inside retrospective datasets is not equivalent to prospective clinical utility. Many models risk overfitting, and very few studies demonstrate that acting on predictions reduces injury or improves performance. Practical implications: Wearables may help organize workload, sleep, cardiovascular, movement, and subjective data. They should not be treated as diagnostic instruments or autonomous readiness systems. For a framework such as the READY Scale, their best role remains supplemental: identify changes worth discussing, then interpret those changes alongside symptoms, performance, exposure history, and the athlete’s broader context. An AUC of 0.94 in a development dataset does not mean that 94% of injuries can be prevented.

We were able to build out a fair amount of resources this month! Body (Re)Building Applied is my vlog style video series that gives an insight into my training, how I program for clients, and the rationale for it. It is my philosophy in action for those that want to see the science applied. The case study series was started and will be growing with two additional cases nearing completion on my end, with Dr. Jacob in works on some from his client roster. These are great examples of real world application of the literature and best practice for clinicians - in populations specific to the group. My personal goal for September is to complete Body (Re)Building 101 which will detail the underlying diagnostic framework that I utilize for clients, and my underlying treatment philosophy. It will be free for all members to access. In addition, I will be working to finalize the draft of Nutrition 101 which I know many of you have been asking for! And finally, dropping in the next few days to finish out the month, the return of the research recap! A synopsis of recent literature relevant to resistance training, rehab, and related content. Research content distilled down into language that can be immediately be applied whether you're an athlete or clinician.

Do you have any specific exercises you really don’t like doing?

2nd time I announce I’ve changed my dosage for my Creatine Monohydrate experiment. Will keep you all updated.