Knowledge of how blood perfusion is affected during and after reconstructive surgery is of great importance to predict the survival of grafts and flaps. When commonly used reconstructive procedures were developed a century ago, they were based on empirical observations of clinical outcome. However, today modern, non-invasive techniques are available to monitor perfusion during and after surgery. A

https://www.photoacoustics.lu.se/clinical-applications/reconstructive-surgery - 2025-06-23

Malaria is responsible for over half a million deaths annually, however, these are primarily in the developing parts of the World. The reason why it remains a problem in only a few places is because the incidence is particularly high and the methods of diagnosing the parasitic illness are not efficient enough. Moreover, understanding the behaviour of the plasmodium parasite vector (the female  Ano

https://www.photoacoustics.lu.se/clinical-applications/malaria - 2025-06-23

The purpose of this project is to develop and evaluate three non-invasive examination methods for the diagnosis of breast tumors, namely photoacoustics, diffuse reflectance spectroscopy and ultrasound-based tissue characteristics. It is our hope that the methods will be used for primary diagnostic of breast cancer, planning of breast cancer surgery but also to evaluate the given preoperative cance

https://www.photoacoustics.lu.se/clinical-applications/breast-cancer - 2025-06-23

12 September 2025 13:00 | Thesis defence Azin Khodaverdi, MSc, PhD student The defence of the Ph.D. thesis of Azin Khodaverdi will be held on Friday, the 12th of September 2025 at 1300.The opponent will be Associate Professor Michael C. Kolios from the Department of Physics at Ryerson University, Toronto.The defence will be held in lecture hall E1406, E-building (Ole Römers väg 3), LundThe work is

https://www.photoacoustics.lu.se/calendar/phd-defence-azin-khodaverdi - 2025-06-23

Machine learning and computational modelling have emerged as powerful tools in both preclinical and clinical research. In this context, hybrid pipelines integrating data clustering, mechanistic modelling, machine learning, and image processing algorithms are being developed to enhance analytical capabilities.These advancements not only improve automated analysis and decision-making but also provid

https://www.photoacoustics.lu.se/computational-modelling - 2025-06-23

PhD defense Ulf Dahlstrand March 20th, 2020 at 13.00Segerfalksalen, BMC LundThesis title: Supervisor: Professor Malin MalmsjöFaculty Oponent:    Linda Thorisdottir, MD, PhD. PhD defense Linda Rannveig ThorisdottirMay 22nd, 2020 at 09.00Segerfalksalen, BMC LundThesis title: Supervisor: Professor Malin MalmsjöFaculty Oponent:   

https://www.photoacoustics.lu.se/events/upcoming-events - 2025-06-23

Gaining insights into neural tube regulation and optimizing protocols for dopaminergic neuron generation require a novel framework integrating gene circuit models with morphogen inputs. Optimized using single-cell data from human embryonic stem cell differentiation (provided by Kirkeby lab, Copenhagen University, Parmar lab, Lund University), these models will capture rostro-caudal and dorso-ventr

https://www.photoacoustics.lu.se/computational-modelling/3d-modelling-neural-tube-development - 2025-06-23

T-cell development serves as a powerful model for studying lineage commitment from multipotent progenitors. To investigate the timing and inheritance of T-cell fate decisions, multi-scale agent-based models are designed, optimized, and validated using single-cell molecular and imaging data from the Rothenberg lab at Caltech.  Selected publicationsOlariu V., Yui M.A., Krupinski P., Andersson E., Ro

https://www.photoacoustics.lu.se/computational-modelling/multiscale-models-t-cell-commitment - 2025-06-23

This interdisciplinary project integrates systems biology and machine learning with experimental neuroscience to enhance the production of specific neural cell types for therapeutic applications. In collaboration with the Ottosson lab at Lund University, a unique computational framework will be developed using single-cell experimental data to optimize the generation of Parvalbumin and Somatostatin

https://www.photoacoustics.lu.se/computational-modelling/optimizing-production-transplantable-neural-cells - 2025-06-23

This project focuses on direct reprogramming of adult human dermal fibroblasts into induced neurons and induced microglia, preserving the aging signature of the original patient cells. A multi-scale computational model is developed for a 3D cell culture system integrating both cell types from the same skin biopsy, enabling the first study of neuron-microglia interactions in an aging human-based sy

https://www.photoacoustics.lu.se/computational-modelling/neurodegenerative-diseases-modelling - 2025-06-23

A deep learning method is proposed for detecting tumor genes based on their unique combined epigenetic signatures. Large volumes of epigenetic data will be processed by the Tomoiaga group at Manhattan College and Columbia. This data will be utilized to train and validate deep network models capable of accurately detecting epigenetic patterns, which can then be leveraged for the classification of g

https://www.photoacoustics.lu.se/computational-modelling/machine-learning-detection-tumor-genes-epigenetic-data - 2025-06-23

xx

https://www.photoacoustics.lu.se/events/past-events - 2025-06-23

The reprogramming of fibroblasts into induced pluripotent stem cells remains inefficient and not fully understood. The goal is to use machine learning and mechanistic modelling to identify barriers to reprogramming from in vitro data provided by Kaji Lab at the University of Edinburgh. Addressing these barriers could improve reprogramming efficiency and increase stem cell production. Additionally,

https://www.photoacoustics.lu.se/computational-modelling/optimizing-cell-reprogramming-pluripotency - 2025-06-23

We propose a machine learning framework in which neural network models are trained and validated using hyperspectral tumor imaging data. These models are integrated with segmentation algorithms to accurately predict the tumor’s actual size and determine the optimal amount of tissue to remove. Beyond improving surgical precision, our approach also holds the potential to accurately classify tumor ty

https://www.photoacoustics.lu.se/computational-modelling/precision-skin-tumor-diagnostics-machine-learning-and-hyperspectral-imaging - 2025-06-23

Lund University Clinical Center For Spectral and Acoustic Imaging Welcome to the Clinical Center For Spectral and Acoustic Imaging Read about our platform. Presentation of our research A short presentation on some of our most exciting research projects and latest findings. Calendar Link to RSS 12 September 2025 13:00 | Thesis defence PhD defence by Azin Khodaverdi More events Our Technical Researc

https://www.photoacoustics.lu.se/lund-university-clinical-center-spectral-and-acoustic-imaging - 2025-06-23

We use the photoacoustic imaging technology platform to solve clinical problems while developing technology to make this possible. Skin Cancer Giant Cell Arthritis Reconstructive Surgery Gaze Tracking Strabismus Surgery Oxygen Saturation Breast Cancer Pediatric Surgery Heart Failure Amyloidosis Neonatal CNS Circulation

https://www.photoacoustics.lu.se/clinical-applications - 2025-06-23

https://www.intramed.lu.se/forstasida-intramed - 2025-06-23

Om semester, ledigheter och sjukfrånvaro Läs om vad som gäller om du blir sjuk, om ditt barn blir sjukt, om du vill vara ledig och mer på Lunds universitets centrala medarbetarwebb.

https://www.intramed.lu.se/anstallning/semester-ledigheter-och-sjukfranvaro - 2025-06-23

Driftstörningar och felanmälan Här hittar du information om driftstörningar samt kontaktuppgifter för felanmälan och support. Access och utrustning  Data, IT och telefoniParkeringPasserkortLokaler och labb - hyra, möblera och utrusta Boka, köpa, låna och skicka Beställa cateringBeställa fjärrlånBoka lokalBoka resa i tjänstenGöra inköpSkicka brev och paket Hitta i Forum Medicum, ladda ner kartan In

https://www.intramed.lu.se/stod-och-verktyg - 2025-06-23

Kvalitetsprocesser på grund och avancerad nivå Kvalitetsprocesser på forskarnivå Kontakt Grund/avancerad nivåJenni Erlandsson Kvalitetssamordnare Medicinska fakulteten  Kansli Mjenni [dot] erlandsson [at] med [dot] lu [dot] se (jenni[dot]erlandsson[at]med[dot]lu[dot]se)+46 709 687 397+46 46 222 72 05ForskarnivåDavid Paulsson Kvalitetssamordnare Medicinska fakulteten David [dot] Paulsson [at] med [

https://www.intramed.lu.se/organisation-och-styrning/kvalitetsprocesser - 2025-06-23