PORTALE DELLA DIDATTICA

PORTALE DELLA DIDATTICA

PORTALE DELLA DIDATTICA

Elenco notifiche



Biomechanical design

01RXKXC, 01RXKMV

A.A. 2026/27

Course Language

Inglese

Degree programme(s)

Master of science-level of the Bologna process in Ingegneria Biomedica - Torino

Course structure
Teaching Hours
Lezioni 30
Esercitazioni in aula 30
Tutoraggio 20
Lecturers
Teacher Status SSD h.Les h.Ex h.Lab h.Tut Years teaching
Deriu Marco Agostino - Corso 1   Professore Ordinario IBIO-01/A 10 10 0 0 6
Deriu Marco Agostino - Corso 2   Professore Ordinario IBIO-01/A 10 10 0 0 6
Co-lectures
Espandi

Context
SSD CFU Activities Area context
ING-IND/34 6 B - Caratterizzanti Bioingegneria
2026/27
Modern experimental and computational methods have provided us with unprecedented insight into the marvels of engineering at the scales ranging from nanometers to microns and beyond that characterize the structure and function of the building blocks of biological cells, tissue and organs. By incorporating concepts and methods from biophysics, biochemistry, bioengineering, structural engineering, materials science and biology, modeling methodologies and theoretical concepts allows us to gain better understanding of biological materials designed by nature, how they are organized and how they function separately and integrated into a unit such as the living cell and higher hierarchical levels such as tissue and organs.
The propagation of mechanics across scales is a crucial feature of living systems. Force, deformation, motion, and energy are not properties measured on biological samples: they are the mechanisms through which life unfolds. A protein changes shape and opens an ion channel. Actin polymerises and a cell moves. A membrane curves and a vesicle forms. Force generates signal, mechanics and electricity speak the same language. This course investigates how mechanical principles govern biological function at the cellular and subcellular scale. The approach is quantitative: the goal is to understand why things work the way they do to derive the persistence length of a filament, to predict how a membrane deforms under tension, to calculate the force a molecular motor generates. Living systems often appear to operate by magic. They do not. Behind every remarkable property there is a physical mechanism, a thermodynamic rationale, a structural logic, and this course is about learning to find it. The course covers the mechanics of the main building blocks of the cell: biopolymers, cytoskeletal filaments, molecular motors, and lipid membranes, and the mechanobiology of how cells sense and respond to mechanical stimuli. From here, the analysis scales up through mechanotransduction pathways to organism-level examples, where the same physical principles give rise to remarkable emergent solutions. The principles encountered here: emergence, distributed sensing, adaptive response: are not exclusive to biology. They are the same principles that underlie modern artificial intelligence. Neural networks were inspired by neurons, evolutionary algorithms by natural selection, swarm intelligence by insect colonies.
The course provides fundamentals of biomechanical engineering applying a multiscale/multiphysics vision, from molecules to organs and beyond. It offers a concise physical description of the organization of the cell and multi-cellular organisms and provides examples of the applications of biomolecular modeling at all levels of organization. Practical cases will be the objective of specific hands-on tutorials. The student will gain competencies in the areas of biophysics and biomechanics characterizing subcellular, cellular and tissue-level biological systems. At the end of the course the student will be able to: understand and characterize the biomechanics of subcellular structures such as proteins, protein aggregates, membranes, polymers filament networks; understand and characterize the physical, chemical and mechanical behavior of cells, tissues and organs in physiological and pathological conditions. The course will also provide information on the mechanisms responsible for emerging properties of living systems, such as biological information processing and consciousness. This course will help students to develop their independent thinking through self-assessment tests. The course will help to improve both written and oral communication skills through classroom exercises, group and individual tutorials. The ability to learn is stimulated by a training program that alternates, in an organized schedule, methodological principles, application examples, and exercises.
By the end of the course, students will be able to: Quantitative reasoning at the cellular scale ● Apply statistical mechanics and physical reasoning to estimate forces, timescales, and material parameters of cellular components. ● Derive and use key mechanical models — persistence length, flexural rigidity, Helfrich bending energy, entropic elasticity — to describe the behaviour of biopolymers and membranes. Mechanics of cellular components ● Describe the structure and mechanical function of cytoskeletal filaments, polymer networks, molecular motors, and lipid membranes, and explain how their properties arise from physical principles. ● Analyse how mechanical and thermodynamic constraints shape the design of biological machinery. Mechanobiology and cellular response ● Explain how cells sense and transmit mechanical forces, and connect these mechanisms to key mechanotransduction pathways and biological outcomes. Critical reading and independent thinking ● Interpret quantitative results from primary literature and experimental methods used to probe mechanical properties at the cell and tissue scale. ● Develop analytical problem-solving skills through structured exercises and case-based examples.
Basic knowledge of the basics of engineering with particular attention to physics, mathematics, chemistry, biology, mechanics, materials science. The lecturer will fill specific background gaps by ad hoc lectures if needed.
Students are expected to have a solid background in classical mechanics, thermodynamics, and introductory biology and chemistry. Familiarity with statistical mechanics and basic physical reasoning at the molecular scale is helpful. The lecturer will address specific background gaps through dedicated lectures.
The course will cover the following topics: • Introduction to living systems and Key Life Processes • Biophysics and Biomechanics of subcellular structures o Mechanics of Biopolymers o Mechanics of Membranes o Molecular and Biological Motors and Machines • Biophysics and Biomechanics of the whole Cell o Structure, Mechanics and Dynamics of Biological Cells o Cell motility: cilia and flagella, beats and strokes. o Cell communication, cell intelligence • Tissue and Organ Biophysics and Biomechanics o Energy Management in the human body o Multiscale features of the nervous system o Models of the immune system o The biophysics of vision o The biomechanics of sound perception • Beyond Organs o The emerging physics of consciousness
Physical foundations ● Length, time, and force scales across biological systems ● Thermal energy (kT) and thermal fluctuations: why mechanics at the nanoscale defies macroscopic intuition ● Brownian motion, entropic forces, and the role of noise in biological design ● Dimensional analysis and order-of-magnitude estimation Mechanics of cellular components ● Biopolymers: persistence length, flexural rigidity, worm-like chain model, and entropic elasticity ● Cytoskeletal filaments: actin, microtubules, and intermediate filaments — mechanical properties, polymerisation dynamics, and structural roles ● Polymer network mechanics: elasticity of crosslinked and entangled gels ● Molecular motors: mechanochemical cycle, force-velocity relationships, and energetics of myosin, kinesin, and dynein ● Lipid membranes: bending rigidity, Helfrich energy, thermal shape fluctuations, and membrane tension ● The nucleus: chromatin mechanics and nuclear stiffness Mechanobiology: how cells sense and respond to force ● Extracellular matrix and cell-scale mechanics ● Mechanosensing: integrins, focal adhesions, and mechanosensitive ion channels ● Mechanotransduction: from force to biochemical signal ● Cell migration and locomotion: actin-driven motility and immune cell trafficking ● Neurobiomechanics: mechanics of neural tissue, axonal mechanics, and physical forces in neural function Applications and special topics Selected case studies and examples drawn from recent primary literature. Topics may include: tissue mechanics in health and disease (cancer, fibrosis, cardiovascular, neurological); emergent mechanical solutions in living organisms (insect biomechanics, spider silk, bioinspired materials). One dedicated topic explores the relationship between biological learning and artificial intelligence. Synaptic plasticity, immune memory, and swarm behaviour are learning implemented in physical, mechanical systems. Comparing these with their AI counterparts — gradient descent, classification algorithms, swarm optimisation — reveals what is gained and what is lost in the abstraction: understanding the mechanics of how living systems learn illuminates both biology and the principles behind its computational imitations.
None
None
Lectures, classroom exercises
The course combines theoretical lectures with guided problem-solving sessions and case-based seminars to foster both conceptual understanding and practical reasoning skills. ● Lectures introduce and discuss the fundamental principles of cellular and tissue biomechanics, with frequent interdisciplinary references to physics, biology, chemistry, and engineering, and examples drawn from primary scientific literature. ● Classroom exercises involve analytical problem solving and order-of-magnitude estimation, applying theoretical models to real biological systems with guidance from the instructor. ● Case-based seminars explore specific biological or clinical phenomena through the lens of biomechanical reasoning — including analysis of landmark papers and discussion of open questions — to stimulate independent scientific thinking.
The teacher will provide all the course material (slides and lecture notes). Suggested textbooks: • Tuszynski, J.A., 2008. Molecular and cellular biophysics. Chapman & Hall/CRC. • Boal, D., 2001. Mechanics of the Cell. Cambridge University Press, Cambridge. doi:10.1017/CBO9780511810954
The teacher will provide all the course material (slides and lecture notes). Suggested textbooks: ● Boal, D.H., 2012. Mechanics of the Cell. 2nd ed. Cambridge University Press. ● Jacobs, C.R., Huang, H., Kwon, R.Y., 2012. Introduction to Cell Mechanics and Mechanobiology. Garland Science. ● Vogel, S., 2013. Comparative Biomechanics: Life's Physical World. 2nd ed. Princeton University Press. ● Phillips, R., Kondev, J., Theriot, J., Orme, N., 2012. Physical Biology of the Cell. 2nd ed. Garland Science. ● Howard, J., 2001. Mechanics of Motor Proteins and the Cytoskeleton. Sinauer Associates. ● Nelson, P., 2008. Biological Physics: Energy, Information, Life. W.H. Freeman. ● Mofrad, M.R.K., Kamm, R.D. (eds.), 2006. Cytoskeletal Mechanics: Models and Measurements in Cell Mechanics. Cambridge University Press.
Slides; Dispense; Esercizi risolti;
Lecture slides; Lecture notes; Exercise with solutions ;
Modalita di esame: Prova scritta (in aula);
Exam: Written test;
... The exam consists of a written test made of multiple choice and open questions. Each question will have a score from 1 to 4 points depending on the question type (open, closed) and complexity. The total max is 35 or re-weighted to 35 in case the sum of question scores is higher than 35 . A grade over 32 is 30L.
Gli studenti e le studentesse con disabilita o con Disturbi Specifici di Apprendimento (DSA), oltre alla segnalazione tramite procedura informatizzata, sono invitati a comunicare anche direttamente al/la docente titolare dell'insegnamento, con un preavviso non inferiore ad una settimana dall'avvio della sessione d'esame, gli strumenti compensativi concordati con l'Unita Special Needs, al fine di permettere al/la docente la declinazione piu idonea in riferimento alla specifica tipologia di esame.
Exam: Written test;
The course is assessed through a written examination. The exam includes both theoretical questions and applied numerical problems. Questions are weighted based on complexity: 1 point for theoretical questions, and 2 to 3 points for applied problems. The maximum raw score is 34; a score above 31 corresponds to the top grade (30 cum laude).
In addition to the message sent by the online system, students with disabilities or Specific Learning Disorders (SLD) are invited to directly inform the professor in charge of the course about the special arrangements for the exam that have been agreed with the Special Needs Unit. The professor has to be informed at least one week before the beginning of the examination session in order to provide students with the most suitable arrangements for each specific type of exam.
Esporta Word