Multiphasic modelling and computation of metastatic lung-cancer cell proliferation and atrophy in brain tissue based on experimental data.

Cancer is one of the most serious diseases for human beings, especially when metastases come into play. In the present article, the example of lung-cancer metastases in the brain is used to discuss the basic problem of cancer growth and atrophy as a result of both nutrients and medication. As the brain itself is a soft tissue that is saturated by blood and interstitial fluid, the biomechanical description of the problem is based on the Theory of Porous Media enhanced by the results of medication tests carried out in in-vitro experiments on cancer-cell cultures.

Treatment Guidelines for Rheumatologic Manifestations of Sjögren's Syndrome: Use of Biologic Agents, Management of Fatigue, and Inflammatory Musculoskeletal Pain.

Objective: The Sjögren's Syndrome Foundation clinical practice guidelines (CPGs) are designed to improve quality and consistency of care in Sjögren's syndrome by offering recommendations for management.

Methods: Management questions for the systemic manifestations of Sjögren's syndrome were posed by the CPG committee with input from patients and rheumatologists. Clinical questions were assigned to a topic review group that performed systematic reviews and data extraction and drafted guidelines.

Effects of osteoarthritis and pathological walking on contact stresses in femoral cartilage.

Osteoarthritis is a widespread abnormality in synovial joints leading to increasing pain and potential work disability in middle-aged and older populations. A primary cause of osteoarthritis is related to damages from high local stresses combined with insufficient self-healing of cartilage. In this framework, it is the goal of the present contribution to offer a thermodynamically consistent simulation of a highly anisotropic, heterogeneous, osmotic swelling and poroviscoelastic model of healthy and osteoarthritic articular cartilage based on the Theory of Porous Media.

A forward dynamics simulation of human lumbar spine flexion predicting the load sharing of intervertebral discs, ligaments, and muscles.

Determining the internal dynamics of the human spine's biological structure is one essential step that allows enhanced understanding of spinal degeneration processes. The unavailability of internal load figures in other methods highlights the importance of the forward dynamics approach as the most powerful approach to examine the internal degeneration of spinal structures. Consequently, a forward dynamics full-body model of the human body with a detailed lumbar spine is introduced.