A5056024965- Glioma Diagnosis and Treatment
- Radiation Therapy and Dosimetry
- Mathematical Biology Tumor Growth
- Radiomics and Machine Learning in Medical Imaging
- Effects of Radiation Exposure
- Ultrasound and Hyperthermia Applications
- Advanced Radiotherapy Techniques
- Spinal Cord Injury Research
- Prostate Cancer Diagnosis and Treatment
- Adversarial Robustness in Machine Learning
- SARS-CoV-2 and COVID-19 Research
- Explainable Artificial Intelligence (XAI)
- Machine Learning in Healthcare
- Molecular Biology Techniques and Applications
- Cellular Mechanics and Interactions
- Cerebral Palsy and Movement Disorders
- Prostate Cancer Treatment and Research
- Gene expression and cancer classification
- COVID-19 epidemiological studies
- Ultrasound Imaging and Elastography
- Stroke Rehabilitation and Recovery
- AI in cancer detection
- Nerve Injury and Rehabilitation
- Photoacoustic and Ultrasonic Imaging
- Model Reduction and Neural Networks
ETH Zurich
2020-2024
SIB Swiss Institute of Bioinformatics
2020-2024
Schulthess-Klinik
2024
Royal Marsden NHS Foundation Trust
2018-2022
Institute of Cancer Research
2017-2022
Technical University of Munich
2014-2015
München Klinik
2014-2015
Klinikum rechts der Isar
2014-2015
Long Covid is a debilitating condition of unknown etiology. We performed multimodal proteomics analyses blood serum from COVID-19 patients followed up to 12 months after confirmed severe acute respiratory syndrome coronavirus 2 infection. Analysis >6500 proteins in 268 longitudinal samples revealed dysregulated activation the complement system, an innate immune protection and homeostasis mechanism, individuals experiencing Covid. Thus, active was characterized by terminal system...
Abstract For multimodality therapies such as the combination of hyperthermia and radiation, quantification biological effects is key for dose prescription response prediction. Tumour spheroids have a microenvironment that more closely resembles tumours in vivo may thus be superior vitro cancer model than monolayer cultures. Here, tumour formed from two established human cell lines (HCT116 CAL27) to single treatments radiation (0–20 Gy), at 47 °C (0–780 CEM 43 ) has been evaluated. Response...
Abstract Background In the last decades, medical research fields studying rare conditions such as spinal cord injury (SCI) have made extensive efforts to collect large-scale data. However, most analysis methods rely on complete This is particularly troublesome when clinical data they are prone missingness. Often, researchers mitigate this problem by removing patients with missing from analyses. Less commonly, imputation infer likely values applied. Objective Our objective was study how...
Moderately hypofractionated external beam intensity modulated radiation therapy (RT) for prostate cancer is now standard-of-care. Normal tissue toxicity responses to fraction size alteration are nonlinear: the linear-quadratic model a widely used framework accounting this, through α/β ratio. Few ratio estimates exist human late genitourinary endpoints; here we provide derived from hypofractionation trial.
Changes in fraction size of external beam radiation therapy exert nonlinear effects on subsequent toxicity. Commonly described by the linear-quadratic model, sensitivity normal tissues is expressed α/β ratio. We sought to study individual ratios for different late rectal after prostate therapy.
Abstract Recurrent high grade glioma patients face a poor prognosis for which no curative treatment option currently exists. In contrast to prescribing dose hypofractionated stereotactic radiotherapy (HFSRT, $$\ge 6$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mo>≥</mml:mo> <mml:mn>6</mml:mn> </mml:mrow> </mml:math> Gy $$\times$$ <mml:mo>×</mml:mo> 5 in daily fractions) with debulking intent, we suggest personalized strategy improve tumor control by delivering...
The thermal and mechanical effects induced in tissue by ultrasound can be exploited for therapeutic applications. Tissue-mimicking materials (TMMs), reflecting different soft properties, are required experimental evaluation of potential. In the study described here, poly(vinyl alcohol) (PVA) hydrogels were characterized. Hydrogels prepared using concentrations (5%–20% w/w) molecular weights PVA ± cellulose scatterers (2.5%–10% characterized acoustically (sound speed, attenuation) as a...
With the steadily increasing abundance of omics data produced all over world under vastly different experimental conditions residing in public databases, a crucial step many data-driven bioinformatics applications is that integration. The challenge batch-effect removal for entire databases lies large number batches and biological variation, which can result design matrix singularity. This problem currently not be solved satisfactorily by any common batch-correction algorithm.We present...
Thermo-radiosensitisation is a promising approach for treatment of radio-resistant tumours such as those containing hypoxic subregions. Response prediction and planning should account tumour response heterogeneity, e.g. due to microenvironmental factors, quantification the biological effects induced. 3D spheroids provide physiological in vitro model systems oncology framework simulating spheroid radiation hyperthermia presented. Using cellular automaton model, oxygen diffusion, delivery...
Whilst survival in paediatric critical care has improved, clinicians lack tools capable of predicting long-term outcomes. We developed a machine learning model to predict poor school outcomes children surviving intensive unit (ICU).
Combined radiotherapy and hyperthermia offer great potential for the successful treatment of radio-resistant tumours through thermo-radiosensitization. Tumour response heterogeneity, due to intrinsic, or micro-environmentally induced factors, may greatly influence outcome, but is difficult account using traditional planning approaches. Systems oncology simulation, mathematical models designed predict tumour growth response, provides a powerful tool analysis optimization combined treatments....
Combined radiotherapy (RT) and hyperthermia (HT) treatments may improve treatment outcome by heat induced radio-sensitisation. We propose an empirical cell survival model (AlphaR model) to describe this multimodality therapy. The is motivated the observation that radio-sensitisation be explained a reduction in DNA damage repair capacity of heated cells. assume only possible up threshold level above which will decrease exponentially with dose. Experimental data from two lines (HCT116, Cal27)...
Abstract Transmission chains within small urban areas (accommodating ∼30 per cent of the European population) greatly contribute to case burden and economic impact during ongoing coronavirus pandemic should be a focus for preventive measures achieve containment. Here, at very high spatio-temporal resolution, we analysed determinants severe acute respiratory syndrome 2 (SARS-CoV-2) transmission in area, Basel-City (Switzerland). We combined detailed epidemiological, intra-city mobility...
Background Transmission chains within small urban areas (accommodating∼30% of the European population) greatly contribute to case burden and economic impact during ongoing COVID-19 pandemic, should be a focus for preventive measures achieve containment. Here, at very high spatio-temporal resolution, we analysed determinants SARS-CoV-2 transmission in area, Basel-City (Switzerland). Methodology. We combined detailed epidemiological, intra-city mobility, socioeconomic data-sets with...
Microbeam radiotherapy (MRT) is a preclinical method of delivering spatially-fractionated aiming to improve the therapeutic window between normal tissue complication and tumour control. Previously, MRT was limited ultra-high dose rate synchrotron facilities. The aim this study investigate in vitro effects on cells at conventional rates produced by bench-top X-ray source. Two two cell lines were exposed homogeneous broad beam (BB) radiation, MRT, or separately irradiated with peak valley...
Abstract Spinal Cord Injury (SCI) presents a significant challenge in rehabilitation medicine, with recovery outcomes varying widely among individuals. Machine learning (ML) is promising approach to enhance the prediction of trajectories, but its integration into clinical practice requires thorough understanding efficacy and applicability. We systematically reviewed current literature on data-driven models SCI prediction. The included studies were evaluated based range criteria assessing...
Neurological and functional recovery after traumatic spinal cord injury (SCI) is highly challenged by the level of lesion high heterogeneity in severity (different degrees in/complete SCI) syndromes (hemi-, ant-, central-, posterior cord). So far outcome predictions clinical trials are limited targeting sum motor scores upper (UEMS) lower limb (LEMS) while neglecting that distribution function essential for outcomes. The development data-driven prediction models detailed segmental all...
An experimental arrangement that allows in vitro exposure of cells to focused ultrasound-mediated hyperthermia (43°C-55°C) a tissue-mimicking phantom with biological, acoustic and thermal properties comparable those human soft tissue is described. Cells were embedded compressed collagen gel, which was sandwiched between 6-mm-thick slices biocompatible, acoustically absorbing thermally mimicking poly(vinyl alcohol) cryo-gel. To illustrate the system's potential, exposed using 1.66-MHz...
Purpose: Treatment planning for carbon ion therapy requires an accurate modeling of the biological response each tissue to estimate clinical outcome a treatment. The relative effectiveness (RBE) accounts this on cellular level but does not refer actual impact organ as whole. For photon therapy, concept equivalent uniform dose (EUD) represents simple model take into account, yet so far no formulation EUD has been reported that is suitable therapy. authors introduce effect (EUE) directly...
Rectal dose delivered during prostate radiation therapy is associated with gastrointestinal toxicity. Treatment plans are commonly optimized using rectal dose-volume constraints, often whole-rectum relative-volumes (%). We investigated whether improved contouring, use of absolute-volumes (cc), or truncation might improve toxicity prediction.
Abstract Background Neurological and functional recovery after traumatic spinal cord injury (SCI) is highly heterogeneous, challenging outcome predictions in rehabilitation clinical trials. We propose k-nearest neighbour (k-NN) matching as a data-driven, interpretable solution. Methods This study used acute-phase International Standards for Classification of SCI exams to forecast 6-month motor function primary evaluation endpoint. Secondary endpoints included severity grade improvement,...