Results 191 to 200 of about 20,054 (263)

Macronutrient and micronutrient profiles of meat types: insights into human health and diet

open access: yesJournal of the Science of Food and Agriculture, EarlyView.
Abstract Despite considerable advances in global health and nutrition, emerging challenges such as population growth, climate change, and limited natural resources continue to threaten food security. Meat remains an essential component of the human diet, supplying high‐quality proteins, essential amino acids, lipids, vitamins, and minerals necessary ...
Özgül Anitaş   +4 more
wiley   +1 more source

Posterolateral corner reconstruction using hamstrings grafts—A comparative biomechanical study of three techniques

open access: yesKnee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
Abstract Purpose To compare three posterolateral corner (PLC) reconstruction techniques—the popliteofibular loop (PFLoop), the modified LaPrade (LP) and modified Arciero (AR) techniques—in restoring knee laxity in varus (VR), external tibial rotation (ER) and posterior tibial translation (PTT). Methods Nine cadaveric knees were subjected to 8Nm VR, 5Nm
Marcos Barbieri Mestriner   +5 more
wiley   +1 more source

Knee joint line obliquity alters lateral meniscal root tension, tibiofemoral subluxation and compartment‐specific contact pressures

open access: yesKnee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
Abstract Purpose The objective was to measure effects of joint line obliquity (JLO) on meniscus posterior root tension, tibiofemoral subluxation and contact pressures. It was hypothesised that a medial JLO would increase medial meniscal (MM) root tension, medial tibiofemoral subluxation and medial compartment contact pressure, and vice versa for ...
Shuntaro Nejima   +5 more
wiley   +1 more source

Hyperferritinemia: Pathophysiology, Etiologies, and Diagnostic Approach. [PDF]

open access: yesEur J Haematol
Kim Y   +5 more
europepmc   +1 more source

Promises and limitations of deep learning for predicting knee osteoarthritis progression from medical imaging: A systematic review

open access: yesKnee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
Abstract Purpose To systematically evaluate the performance, methodological quality, and translational barriers of deep learning (DL) models for predicting knee osteoarthritis (KOA) progression from medical imaging. Methods Following PRISMA guidelines, we searched PubMed, Scopus, and Web of Science (inception to June 2026) for peer‐reviewed studies ...
Amna Gillani   +5 more
wiley   +1 more source

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