Master's Programme in Life Science Technologies

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Thesis

Deadlines 2023

This table shows the important dates for thesis approval process. The deadline for submitting documents for the Degree Programme Committee is approximately 3 weeks before the meeting.

When you are planning for submitting your thesis for evaluation, consider these dates according to your graduation and study right. You need to be present as a student when applying for thesis evaluation. This is critical especially at the end of semesters in July and December.

Submit your documents on the deadline date by 23:59 at the latest.

Deadlines for submitting applications 2023	Degree Programme Committee meetings 2023
Fri 30.12.2022	Mon 16.1.2023
Mon 27.2.2023	Mon 20.3.2023
Mon 24.4.2023	Mon 15.5.2023
Mon 29.5.2023	Mon 12.6.2023
Mon 31.7.2023	Mon 21.8.2023
Mon 25.9.2023	Mon 9.10.2023
Mon 20.11.2023	Mon 11.12.2023
Fri 29.12.2023	January 2024

Master's Theses and Press Releases of LifeTech Students

Below you can find master's theses and press releases written by students of Master's Programme in Life Science Technologies on their master's theses. Master's theses are updated here when they are available in the Aaltodoc publication archive.

Master's thesis

Author	Master's thesis	Supervisor
Ahola Oskari	Unravelling somatosensory connectivity with peripheral and central stimulation	Parkkonen Lauri
Leinonen Milja	Cost-effectiveness in wound care: health economic evidence generation for decision-making and public procurement	Lillrank Paul
Manninen Anniina	Self-supervised learning for histological image representation	Ilin Alexander
Poutanen Tuomas	Contextual extraction of phenotype expressions from free-form text	Saramäki Jari
Pykälä Lauri	Sentence Embeddings in Topic Modeling: Analysing News Articles through Cybersecurity Concepts	Lampinen Jouko
Tähti Linn	Transfer Learning in Histopathological Image Analysis	Kivelä Mikko
Metsämäki Daniel	Custom design of fine wire EMG recording set-ups	Vujaklija Ivan
Ferrer Pascual Laura	Nanoscale engineering to control mass transfer on carbon based electrodes	Laurila Tomi
Kauppila Pekko	Utilizing computer-aided design for modeling and documenting the cabling of 5-channel mTMS prototype	Ilmoniemi Risto
Korpela Dani	A deep learning method for predicting T cell receptor binding to unseen epitopes	Lähdesmäki Harri
Uimonen Mikael	Multimodal interface for interactive cooperation with quadruped robots	Vujaklija Ivan
Hansson Johanna	Predicting work dysfunction risk from clinical notes using deep learning	Pekka Marttinen
Arantola Joel	Measuring and predicting the quality of life of cancer patients through changes in symptoms reported through electronic patient-reported outcomes	Jari Saramäki
Laitinen Joonas	Improving EMG tolerance of EEG-based depth of anesthesia monitoring	Matias Palva
Ip Chek	Analysis of the effects of cholinergic treatment on event-related brain activity in patients with Alzheimer’s disease	Risto Ilmoniemi
Eevi Hyttinen	Utilization of Industrial Side Streams as Carbon and Nutrient Source for Microbial Ssingle Cell Protein Production	Paula Jouhten
Lauri Peuhkurinen	Fungal Mycelium as a Material Component: Production and Characterization of Genetically Engineered Strains	Markus Linder
Sharon Saarinen	Encapsulation of RNA-DNA Hybrid Origami with Viral Capsid Proteins	Mauri Kostiainen
Ida Uotila	Supported Fischer-Tropsch Catalysts for Carbon Dioxide Based Light Olefin Production	Riikka Puurunen
Gustav Åberg	Development of molecular biology tools and engineering procedures for a non-model filamentous fungus strain	Alexander Frey

Author	Master's thesis	Supervisor
Aarnio Tiu	On-line monitoring of plant cell cultures using isotopes	Koskelainen Ari
Harnist Bent	Probabilistic Precipitation Nowcasting using Bayesian Convolutional Neural Networks	Solin Arno
König Sebastian	Online Source Analysis for Guiding TMS–EEG Measurements	Ilmoniemi Risto
Mäntylä Väinö	Measuring mechanical properties of extracellular matrix altered by fibroblasts	Kuzyk Anton
Ojala Fanni	Bayesian Survival Analysis to Model Clearance of MRSA Colonization	Marttinen Pekka
Pöllänen Santeri	Dynamical neuromodulation with pulse waveforms in a brain circuit model	Ilmoniemi Risto
Purhonen Mikko	Computer-Aided Analysis of MGG-stained Bone Marrow Aspiration Samples	Kannala Juho
Saarinen Ville	kMMI: Minimization of Intergroup Interference in Networked Experiments	Kivelä Mikko
Tainio Oskar	Hyperspectral imaging based glass surface contamination level analysis with neural networks	Saramäki Jari
Tauriainen Sofia	Unraveling dynamics of brain activation in ADHD children with a novel open-ended virtual reality task	Henriksson Linda
Theodoropoulos Jason	Large-scale Analysis of Immune Receptor Repertoires in RNA Sequencing Data from Autoimmune Disorders	Lähdesmäki Harri
Vapalahti Severi	Deep Learning Methodologies in Drug Kinase prediction	Rousu Juho
Vartiainen Emilia	Charasteristics of the Liver Transcriptome and its Genetic Regulation	Rousu Juho
Ziaei Bideh Amirmohammad	Exploring Behavioral Patterns of Patients with Mental Disorders Using the MoMo-Mood Dataset	Aledavood Talayeh
Streng Tony	Measurements and shimming for a low-field magnetic resonance imaging system	Laakso Ilkka
Seluska Liisa	Detection of lactate from sweat with screen-printed carbon electrodes	Laurila Tomi
Tuomas Kupila	User interface development and test automation in microplate controller software	Lauri Parkkonen
Atte Föhr	Cancer Detector on Histological Slides Using Semi-Supervised Learning	Juho Rousu
Marcus Talke	Using Supervised Deep Learning for Real-Time Motor Unit Decomposition of High-Density Surface Electromyography Signals	Ivan Vujaklija
Juliaana Juurakko	Multi-modal Approach for Classifying ECG-based Ventricular Tachycardia Detections	Heikki Nieminen
Juho Aaltonen	Application of linear machine learning methods for the diagnosis of mild traumatic brain injuries	Hanna Renvall
Salla Autti	Spatiotemporal analysis of simultaneous event-related magnetoencephalography and high-density diffuse optical tomography data	Hanna Renvall
Alisa Halonen	Quality of sleep and emotion regulation	Iiro Jääskeläinen
Annika Hautala	Moderating implicit neural prejudice for vaccine hesitancy	Iiro Jääskeläinen
Verna Heikkinen	Capturing individual variation in children's oscillatory brain activity during nREM sleep	Hanna Renvall
Inka Lehtonen	Rule-based approach for extracting structured data from semi-structured pathology reports	Pekka Marttinen
Iina Mikkola	Cell-free DNA extraction using bead-based microfluidics	Tomi Laurila
Alexandra Prinz	Increment and decrement detection at the sensitivity limit of vision	Petri Ala-Laurila
Timo Tommila	Improving the modularity and operation of multi-locus transcranial magnetic stimulation devices	Risto Ilmoniemi
Jere Korteniemi	Improving the Validation Process of Software Tools Used in Medical Device Software	Simo Särkkä
Niki Ulmanen	Predicting categories for IT tickets: Integrating ServiceNow to Aito.ai for automated categorization of incident tickets	Jari Saramäki
Mikael Grön	Measurement and Characterisation of Human Visual Gamma-band Responses with On-scalp Magnetoencephalography	Lauri Parkkonen
Maria Misukka	Standardizing electronic health records in order to advance secondary use of hospital data lakes - A case study on HUS data lake	Paul Lillrank
Katri Valtonen	Towards virtual care operator in Finnish healthcare context – Identifying care disrup-tions and defining use cases in type 2 diabetes care	Paul Lillrank
Niemelä Anni	In vivo gene editing of Syndecan-1 in mice	Alexander Frey
Riina Haajanen	Identification of potential clinical use of MEG in oncology treatment planning and follow-up	Lauri Parkkonen
Emilia Hattula	Transfer Learning Technology for Building Extraction from Orthophotos and Open-Source Data	Alex Jung
Malena Lindberg	Identifying patients suitable for home dialysis from cost perspective	Paul Lillrank
Mikael Laine	Corticocortical modulation of motor responses with multi-locus transcranial magnetic stimulation	Matti Stenroos
Otso Brummer	Application of Computational Histopathology to Quantify Immune Cells in Clear-cell Renal Cell Carcinoma Tissue	Juho Kannala
Emilia Lönnberg	Effects of cognitive training in neuronal synchrony - EEG resting state analysis	Matias Palva
Olivia Hölsä	Machine Learning-Based Classification of Clinical Notes to Extract Smoking Status from Electronic Health Records	Pekka Marttinen
Miisa Martio	Improving verification of a software product for 3D medical image analytics	Lauri Parkkonen
Mika Merano	Implementation of a Notified Body function as a new business arm to a medical device consulting company	Anton Kuzyk
Georges Tayar	Comparison of Landscape Categorization Behaviour of Humans and Artificial Neural Networks	Lauri Parkkonen
Joonas Juvonen	Pre-stimulus neuronal phase correlates of conscious visual perception in threshold stimuli detection tasks	Matias Palva
Arttu Ruohola	Magnetic Resonance Encephalography: Performance and quality assurance of five MRI scanners	Lauri Parkkonen
Anni Forsman	Inter-subject correlation during natural viewing with on-scalp MEG	Lauri Parkkonen
Antti Vallin	Design and development of a medical device for automated ear inflammation recognition	Tomi Laurila
Zaeed Khan	Joint use of thermal camera and optical camera for respiration measurement	Simo Särkkä
Paavo Hietala	Improving MEG source estimation with joint analysis of multiple subjects	Lauri Parkkonen
Joonas Haakana	Cortical fingerprinting with MEG power spectra and functional connectivity	Riitta Salmelin
Vilma Kahri	The visualization of the subthalamic nucleus with quantitative susceptibility mapping	Lauri Parkkonen
Elias Panula	Semi-supervised brain hemorrhage segmentation using deep learning	Alexander Ilin
Arsi Ikäheimonen	TREATISE-B: a toolbox for exploratory analysis of behavioral time series	Jari Saramäki
Tomas Villikka	Social network analysis in matrix organization	Iiro Jääskeläinen
Maryam Kiashemshaki	Uncovering the spatial connection of human mobility based on egocentric networks	Jari Saramäki
Anna Hakala	Classification of patients with depression and healthy controls based on behavioural patterns acquired from smartphone sensor data	Aristides Gionis
Laura Hawk	End-tidal Carbon Dioxide (ETCO2) Monitoring for Infants: An exploratory study of effectiveness and sensitivity	Heikki J. Nieminen
Markus Toivonen	An Automated and Gamified Cyber Security Awareness Training Program: Modeling, Predicting and Improving Learning	Mikko Kivelä
Minna Oksanen	Connecting Secondary Metabolites and Biosynthetic Gene Clusters	Juho Rousu
Samuel Girmay	O-GlcNAcylation of the Transcription Machinery in Prostate Cancer Cells	Alexander Frey
Jasmin Hertzberg	Development of Analysis Method for Quality Control of Bioink Printing	Markus Linder
Camilla Selenius	Exploring the Possibility of Lignin in Wood Polymer Composites	Monika Österberg
Ingrid Schulman	Data-driven study of social signatures in different channels Press release: Social signatures remain similar in different channels: communication per phone versus physical proximity	Jari Saramäki
Minéa Wuori	Simulating the effect of mitigation measures on COVID-19 outbreaks with a real-world contact network Press release: Mitigating COVID-19 transmission on university campus by vaccinating and screening highly connected individuals	Jari Saramäki
Emil Ala-Pietilä	Coronary heart disease prediction in Finnish cohort utilizing genomic and other health data	Harri Lähdesmäki
Veera Itälinna	Detecting mild traumatic brain injury from MEG data using normative modelling and machine learning	Lauri Parkkonen
Ali Salloum	Quantifying polarization in social networks	Mikko Kivelä
Oskari Lehtonen	Fully Convolutional Neural Networks for Nuclei Segmentation and Type Classification	Harri Lähdesmäki
Alexandra Andersson	Investigating the impact of music and other auditory stimuli in advertising using EEG	Iiro Jääskeläinen
Viljami Raiski	Exploring Latent Structure in Continuous Glucose Monitor Data	Juho Rousu
Ossi Lehtonen	Medical ultrasound imaging using sparse arrays	Visa Koivunen
Kristiina Dahl	Immunodetection methods for aflatoxin	Alexander Frey
Miika Korpioja	Characterization of signaling protein mutants in Trichoderma reesei	Alexander Frey
Anna Pohto	Biophysical characterization of non-hydrolytic fungal proteins	Emma Master
Matias Tiainen	Forecasting Seasonal Demand at the Product Level in Grocery Retail	Mikko Kivelä
Niklas Nevalainen	Expertise Seeking and Automatic Expertise Retrieval in a Software Consultancy	Jari Saramäki
Inka Lehtimäki	Automatic Video-based Classification of Convulsive Epileptic and Functional Seizures	Riku Linna
Antti Alastalo	Finnish end-to-end speech synthesis with Tacotron 2 and WaveNet	Mikko Kurimo
Maikki Messo	Terveydenhuollon etulinjan asiakasohjauksen vaikuttavuuden mallintaminen	Paul Lillrank
Karoliina Hakkarainen	Activity recognition of hospital patients for wearable noninvasive blood pressure monitoring	Lauri Parkkonen
Joel Honkamaa	Aligning images: Deformable registration of CT and Pseudo-CT images using unsupervised Deep Learning based algorithms	Riku Linna
Jani Kaaos	Preparation of sputtered aluminun nitride thin films for direct bonding to fabricate alternative silicon on insulator substrates	Mervi Paulasto-Kröckel
Yrjö Koski	Detecting DNA modifications and adducts from nanopore sequencing data with deep learning methods	Harri Lähdesmäki
Elias Lius	Detuning of quadrature body coil without detune boards in MR-linac system	Lauri Parkkonen
Janita Nissi	Simulation of magneto- and electrophosphenes	Ilkka Laakso
Sara Tuominen	Usage of cloud-based AI services to improve data utilization	Riku Linna
Maija Vahteristo	On effectiveness of cervical cancer screening in Finland	Pauliina Ilmonen
Elina Pitkäranta	Development of Workplace Risk Assessments - Focus on Chemical Risks	Katrina Nordström
Antti Ahola	Data migration from legacy systems to data quality aware cloud-computing systems	Hong-Linh Truong
Lotta-Mari Kirjavainen	Recombinant Production of Neutralizing Antibodies Against SARS-CoV-2 in Yeast	Alexander Frey
Antti Leikas	Plug and Play Parameters for Patient Monitors	Tomi Laurila
Tommi Mäkinen	Adopting Agile Methods:A Case Study of Implementing SAFe	Casper Lassenius
Antti Rantala	Creating a normative database of resting-state brain activity from a large number of MEG recordings	Lauri Parkkonen
Sebastian Remander	Comparison of classification methods in predicting NHL game event outcomes	Jari Saramäki
Nuutti Sten	Accelerating Bayesian Optimization Structure Search with Transfer Learning	Patrick Rinke
Jonna Hurme	Identifying the Intracellular Catabolic Routes of Lignin Monomers in Fungi	Alexander Frey
Kellen Leskinen	Investigating Liquid-liquid Phase Separation Behaviour of Histidine-rich Squid Beak Protein Variants	Markus Linder
Jaakko Hassinen	A Study of Ferredoxin Interactions in Methanosarcina Barkeri Using in Vivo Tagging and Heterologous Expression	Silvan Scheller
Tiira Johansson	A Document Management Process of a Clinical Trial in a Global Pharmaceutical Company	Heli Viskari
Natalia Lindholm	Comparing the Production Potential of IVD Standard Proteins in CHO Cells and E. Coli	Alexander Frey
Timo Purho	Adhesive Properties of the Silk-Mussel Protein	Markus Linder
Anna Salminen	Assessing the Potential of C1 Enzymes in Limosilactobacillus Reuteri Towards Catalyzing C2 Substrates	Silvan Scheller
Sara Jaatinen	The Effect of Composition on Emulsion Stabilit y	Alexander Frey

Press releases

	Supervisor
Juhana Aho: P-Nitrobenzyl Reduction and Human Liver S9 Assay for Predicting the Release Properties of Antibody-drug Conjugates in Biological Environment	Jan Deska
Santeri Mentu: Analyzing Performance of Latent Tensor Methods on Large High-Rank Data Sets	Juho Rousu
Niina Kanerva: Compatibility and safety testing of submodules for a novel fMRI-compatible mTMS device	Risto Ilmoniemi
Esa Turkulainen: Forecasting Blood Demand: Observations and an implementation	Jari Saramäki
Alison Tshala: Improving Wearable Non-Invasive Blood Pressure Measurement Using Activity Classification	Risto Ilmoniemi
Saara Hiltunen: Integrating multi-tube flow cytometry data via deep generative modelling	Harri Lähdesmäki
Kasperi Palkama: Generative Adversarial Networks for Speech Synthesis	Alexander Ilin
Na Young Kang: Optimization of Mouse Brain-Derived Exosome Isolation Method and a Study of Exosomal Roles in the Pathological Propagation of Alpha-Synuclein Aggregates in Parkinson’s Disease	Synnöve Carlson
Viktor Honkanen: Measuring Corneal Thickness During Rebound Tonometry	Ari Koskelainen
Johanna Vikkula: Modelling Transcriptional Velocities and Latent Dynamics of Single Cells	Harri Lähdesmäki
Patrik Holopainen: Network theory shows connection between VAA data and election outcome	Jari Saramäki
Cecilia Björkman: Development of Medical Abrasives: For Skin Applications	Tomi Laurila
Maaria Malkamäki: Engineering flax-protein composites	Markus Linder
Ester Schulman: A method to measure cell-generated forces in 3D cancer-cell cultures	Ari Koskelainen
Pauliina Yrjölä: Functional cortical networks of early preterm infants and their relationship to neurological performance	Matias Palva
Melissa Holopainen: Regulation and implementation of usability engineering for medical device	Risto Ilmoniemi
Eeva-Sofia Haukipuro: 3D geometric correction in 2D multi-slice acquired MR images used in radiation therapy planning	Lauri Parkkonen
Janina Niiranen: Differentiation between Candida africana and Candida albicans using proteomic mass spectrometry	Harri Lähdesmäki
Henri Sydänmaanlakka: Nanoparticles and DNA help in early detection of cancer Animation Sydänmaanlakka	Mauri Kostiainen

	Supervisor
Aarni Seppänen: Tracking mouse eye movements at the sensitivity limit of vision	Petri Ala-Laurila
Jussi Tiihonen: Utilization of a single-photon gun to measure single-photon responses in retinal rods	Petri Ala-Laurila
Vesa Vahermaa: Using neural networks to identify psychosis from fMRI data	Mikko Sams
Mikko Luukinen: Effects of Biofouling on Carbon Nanofiber - Based Dopamine Sensors	Tomi Laurila
Lassi Meronen: Deep Learning with Uncertainty Quantification for Emitter Classification	Arno Solin
Natalia Kakko: Engineering an Inducible Protein Degradation System in Saccharomyces Cerevisiae for Synthetic Switching from Growth to Production	Alexander Frey
Saara Kaijala: Forecasting the Demand of Retail Stock Keeping Units Using a Negative Binomial State Space Model	Harri Lähdesmäki
Arto Lehisto: From SNPs to Signals: Automatic Result Filtering and Novelty identification for Genome-Wide Association Studies	Pekka Marttinen
Timo Vehviläinen: Effects of fentanyl on the cortical activity of neonates	Lauri Parkkonen
Emi Iizuka: Characterizing simultaneous multi-slice imaging with multifocal visual stimulation	Lauri Parkkonen
Richard Dwamenah: Effects of Chemical Chaperone on Recombinant Protein and Solubility	Alexander Frey
Keivan Kalantari Khademi: Fundamental Understanding of Nanocellulose‒Lignin Interactions Using Mechano-Enzymatically Produced Cellulose Nanofibrils	Monika Österberg
Maarit Muukkonen: Carbon nanomaterials can bring help for Parkinson’s disease	Tomi Laurila
Rashad Ismayilzada: Platform for Predicting ALS Disease Using Genomic and Primary Care Patient Data	Paul Lillrank
Laura Antola: Developing cell co-culture and flow systems to mimic the effects of cell living conditions in the heart	Ari Koskelainen
Ville Kolehmainen: Utilizing machine learning in mobile networks to serve high-velocity users	Riku Linna
Laura Aarnos: Burst detection methods for human pluripotent stem cell-derived neuronal networks	Alexander Frey
Ahmed Ahmed: DNA nanostructures as bio-hybrid vehicles for phototherapy	Mauri Kostiainen
Satu Pallasaho: One step closer to a personalized laser heating treatment for retinal diseases	Ari Koskelainen
Andrey Vinogradov: Chasing neural spikes: detecting neuronal signal amongst noise in microelectrode recordings	Lauri Parkkonen
Tarmo Nurmi: New tools for time-evolving brain network analysis from Aalto University	Mikko Kivelä
Noora Matilainen: Stimulating fingers by touch and passive movement show different responses in brain	Lauri Parkkonen
Tuomas Takko: Modelling reveals aspects of human behavior in cooperative games	Mikko Kaski
Iiris Hakaste: Detailed information of the pH-responsivity of a DNA origami nanocapsule could be used in selective drug delivery applications	Mauri Kostiainen
Teemu Rintala: AI learns gene regulation using human understandable rules	Harri Lähdesmäki
Alexander Gurevich: Researches at Aalto University investigate smart taxation schemes in order to make the financial system sustainable	Jari Saramäki
Oskar Niemenoja: Clustering and prediction of electronic health record data from mental health patients in a Finnish healthcare environment	Jari Saramäki
Viktor Tóth: Seeing through sounds: turning vision into audio for the blind	Lauri Parkkonen
Ossi Galkin: Enterprise integration architecture succesfully recovered	Mikko Kivelä
Joanna Haahti: What if we used raw biomedical signals and deep neural networks to predict mortality?	Pekka Marttinen
Javier Ureña Carrion: When are you calling whom? The timings of your calls tell how strong your social ties are	Mikko Kivelä
Tolou Shadbahr: Meticulous targeting of cancer with machine learning	Juho Rousu
Janne Myllärinen: Data science enables to predict mortality and medical complications of preterm infants	Simo Särkkä
Vilma Jägerroos: Machine Learning to Predict Drug Bioactivities from Tandem Mass Spectra	Juho Rousu
Zewde Mahlet: Imaging the brain in naturalistic environment	Risto Ilmoniemi
Anna Anttalainen: Neural networks to sniff out cancer in the operating room	Mikko Kivelä
Josef Taher: Multispectral laser scanning and deep neural networks: The recipe for next generation self-driving cars?	Juho Kannala
Erkka Seraste: Could small molecules assist in stabilizing muteted enzymes? Searching for alternative treatment methods for Gaucher's disease	Alexander Frey
Heli Julkunen: Predicting Anti-cancer Drug Combinations with Machine Learning	Juho Rousu
Henrik Ambos: Semi-supervised learning over network structures	Alex Jung
Ashkan Zareie: The search for biomolecular motifs; first glance at a rarely-investigated problem in bioinformatics reveals naturally-occurring instances of a laboratory-designed RNA motif used in ribozyme engineering and evolutionary studies in the genome of common fruit fly	Harri Lähdesmäki
Sampsa Hyvämäki: Data processing pipeline automation on cloud platform - how to prepare your data processing web service for a sudden surge in demand?	Simo Särkkä
Hoang Vu Nguyen: Design, Assembly and Characterization of Highly Curved DNA Origami Structures	Anton Kuzyk
Pauliina Hirvi: Opening the optical window into the child brain: Improved head moedels for imaging activity with near-infrared light	Risto Ilmoniemi

	Supervisor
Mustafa Kaan Çan: Increased Magnetic Field Homogeneity in Human Head MRI	Risto Ilmoniemi
Lotta Lammi: Intepreting the content of thought based on brain activity: We are not that different	Riitta Salmelin
Minea Jokivuolle: Method to reduce head movement related errors in magnetoencephalographic brain scanning	University lecturer Matti Stenroos
Noora Jekunen: Gaze alters conversations	Lauri Parkkonen
Ilona Lehtinen: Detecting differentially abundant microbes from 16S rRNA gene sequencing data remains a challenge due to data characteristics	Harri Lähdesmäki
Susanna Aro: Studying functional connections in the human brain using a new open-source code library	Riitta Salmelin
Martti Vapalahti: Health chair: find out your physical well-being in one sitting	Ilkka Laakso
Roni Hytönen: Better cancer care; Improving the accuracy of radiotherapy	Lauri Parkkonen
Carin Aschan: New quality control workflow developed for next-generation sequencing	Mikko Kivelä
Laura Niemelä: Mutant Proteins Were Created at Aalto University School of Chemical Engineering in a New Master’s Thesis to Improve Metagenomic Gene Expression	Alexander Frey
Ulla Wilppu: A workflow management system for the integration of the automated medical image analysis tools	Ari Koskelainen
Heikki Sinisalo: One step closer to fast multi-local brain stimulation	Risto Ilmoniemi
Samuli Suvisto: Dexmedetomidine appears to have an effect on the cortical activity of neonates	Ilkka Laakso
Aleksandr Ianevski: Investigating potential of making drug combination treatment more affordable	Juho Rousu
Jan Schreier: Can AI replace the radiologist?	Lauri Parkkonen
Mikko Karjalainen: Improved image registration will aid in the development of a new solution for early detection of breast cancer	Nuutti Hyvönen
Henriikka Vekuri: A cell model for an early onset brain disease reveals metabolic rearrangements in patient specific neurons - potential target for therapy	Alexander Frey
Harshit Agrawal: Neural networks for detection of visual faults in Dental X-ray images	Simo Särkkä
Riina Kärnä: Finnish hospitals play by the rules	Ari Koskelainen
Arash Badie Modiri: Finding vulnerabilities and points of failure in public transportation systems	Mikko Kivelä
Elisa Ryyppö: Small-scale internal connectivity structure explains network role of brain regions	Jari Saramäki
Jukka Ranta: Monitoring baby sleep with a bed mattress sensor and ECG	Jari Saramäki
Mirva Kallio: Neural activity in the brain changes during stroke recovery	Parkkonen Lauri
Toni Tamminen: A software controlling mouse retinal pigment epithelium (RPE) heating device to research therapy for eye diseases	Ari Koskelainen
Jaakko Sahlsten: Training a deep neural network for classifying diabetic retinopathy from colour fundus images and reducing annotation requirement with active learning methods and user feedback	Kimmo Kaski
Roosa Wederhorn: Developing a new generation pulse oximetry - an accurary and performance study of wireless and ambulatory pulse oximeter	Risto Ilmoniemi
Aleksi Pradere-Koskiahde: Clinicians' insights for new pediatric MRI receiver coils	Ilkka Laakso
Ana Triana Hoyos: To smooth or not to smooth, that is the question	Jari Saramäki
Anna Äimälä: Verbal associations are shown to reveal changes in social attitudes in a new master's thesis at Aalto University	Iiro Jääskeläinen
Sara Heydari: People have distinct and persistent signagures in socializing	Jari Saramäki
Linda Olkkonen: One step closer to animal-free cancer research	Alexander Frey
Ossi Kaikkonen: A novel laser system triggers production of therapeutic proteins in the mouse retinal pigment epithelium	Ari Koskelainen
Anni Antikainen: Random forest have been applied to predicting DNA binding sites of proteins and protein pairs in a new Master’s thesis	Harri Lähdesmäki
Sallamari Sallmen: Graphlets are brought closer to reality in a new master’s thesis at Aalto University School of Science	Mikko Kivelä
Tuukka Lehtinen: Computational dosimetry of induced electric fields	Ilkka Laakso
Antti Hakkarainen: Non-optimal quantification procedure may lead to false results in hepatic proton-decoupled 31P MR spectrocopy	Raimo Sepponen

Published: 23.5.2022
Updated: 16.3.2023

Master's Programme in Life Science Technologies

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Deadlines 2023

Master's Theses and Press Releases of LifeTech Students

Master's thesis

Master's theses 2022-2023

Master's theses 2021-2022

Press releases

Press releases 2020

Press releases 2019

Press releases 2018 and 2017