Introduction The purpose of this research is to evaluate the physical fitness variables of Venezuelan workers, taking into account exercise batteries or submaximal tests that have been little used in the industrial environment.
Methods: A quantitative, descriptive, cross-sectional, epidemiological and field study was conducted in a Venezuelan population of industrial direct labor workers in bipedestation. The sample consisted of 185 workers (M: 136, W: 49) in the main industrial areas of the state of Aragua-Venezuela.
Results: Results were obtained on the physical fitness of Venezuelan industrial direct labor workers presenting average results in both sexes. Calculations for obtaining HRmax and RAC in ml O2 min-1 kg-1 were taken into account.
Conclusions: A population of industrial direct labor was observed, of low physical capacity with values associated with age (42.87 M-38.43W), physical wear and tear, poor physical fitness habits, poor dietary habits and decrease in muscle mass.

The objective of this article was to explore the role of artificial intelligence in the field of sports, focusing on data analysis to enhance training. A literature review was conducted to examine different artificial intelligence algorithms to identify patterns and trends that enable the application of effective and personalized training strategies. Additionally, practical and ethical implications of using artificial intelligence in sports were discussed, along with potential future directions for interdisciplinary research and sports development. In conclusion, the transformative potential of artificial intelligence in sports is revealed, emphasizing its ability to personalize training and enhance athlete performance.

Introduction: The symptoms of osteoarthritis (OA) can usually be controlled, although joint damage cannot be reversed. Be permanently active, maintain a healthy weight and receiving certain treatments can slow the progression of the disease and help improve joint pain and function. This research will review the different treatments available for osteoarthritis with a special focus on hydrolyzed collagen supplements.
Objectives: A systematic review will be carried out using different scientific articles to analyze the available evidence on the effectiveness of collagen supplements in the treatment of of the symptoms of osteoarthritis, as well as its relationship with the structure and function of articular cartilage. Additionally, limitations and challenges in research on hydrolyzed collagen supplements for osteoarthritis will be discussed.
Materials and Methods: For this scientific work, an exhaustive search of scientific works was carried out in the electronic databases MEDLINE (PubMed); Trip database and Dynamed for literature on the use of collagen supplements in osteoarthritis. First, the filters related to osteoarthritis and type II collagen were used. The terms used for the search were Mesh terms (osteoarthritis[MeSH Terms])AND (collagen type ii[MeSH
Terms]) and then relating these terms to (articular cartilage[MeSH Terms]) AND (cartilage disease[MeSH
Terms]) AND (nutraceutical[MeSH Terms]) the “Abstract” was read to focus on the effectiveness of treatment with collagen supplements for the symptoms of osteoarthritis.

Alzheimer's disease is a progressive neurological condition characterized by brain changes resulting in the accumulation of specific proteins, leading to brain shrinkage and eventual cell death. It is the primary cause of dementia, resulting in a gradual decline in memory, cognition, behaviour, and social skills, impairing overall functionality. The case study involves an 84-year-old woman displaying symptoms of Alzheimer's disease requiring physiotherapy rehabilitation. Assessment reveals joint pain, abnormal gait, respiratory issues due to pneumonia, reduced balance and cognitive function, concentration difficulties, impaired decision-making, fluctuating moods, and behavioural issues such as depression and aggression. Physical examination shows shoulder shrugging and slight tension in the upper trapezius muscle. The rehabilitation program involves various interventions like stretching, strengthening, aerobic exercises, breathing exercises, lung clearance techniques, active range of motion exercises, postural control, and gait training. The role of the physiotherapist is to address the both physical and cognitive decline and improve mood and behaviour.

As healthcare landscapes evolve, Artificial intelligence (AI) has emerged as a transformative force in physiotherapy research in India. The integration of machine learning algorithms, computer vision, and natural language processing has significantly advanced the analysis of patient data, enabling the prediction of treatment outcomes and personalization of physiotherapy interventions. This overview delves into specific examples of successful AI integration in ongoing clinical trials within the Indian context, showcasing notable improvements in trial efficiency and positive impacts on patient outcomes. Challenges in implementing AI, including data security, ethical considerations, and the need for specialized training, are discussed. Proposed solutions encompass robust data encryption, ethical guidelines, interpretability of AI models, and targeted educational programs for healthcare professionals. Looking forward, the future outlook emphasizes personalized treatment plans, expanded tele physiotherapy using wearable technology, and the integration of augmented and virtual reality. Ethical and regulatory frameworks, continued advancements in robotic assistance, and interdisciplinary collaboration are highlighted as key factors shaping the trajectory of AI in physiotherapy clinical trials in India. The primary objectives of this manuscript are to explore the current state of AI in physiotherapy clinical trials in India, assess its utilization, and discuss the potential future developments in the field.