Bentham J, Di Cesare M, Bilano V, and 1,020 more authors. Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement studies in 128·9 million children, adolescents, and adults. Lancet 2017. Volume 390, Issue 10113, 16–22 December 2017, Pages 2627-2642 https://doi.org/10.1016/S0140-6736(17)32129-3

Das Gupta S, Finnilä M, Karhula SS, Kauppinen S, Joukainen A, Kröger H, Korhonen RK, Thambyah A, Rieppo L, Saarakkala S. (2020) Raman microspectroscopic analysis of the tissue-specific composition of the human osteochondral junction in osteoarthritis: A pilot study. Acta biomaterialia, 106, 145–155. https://doi.org/10.1016/j.actbio.2020.02.020

Halt KJ, Pärssinen HE, Junttila SM, Saarela U, Sims-Lucas S, Koivunen P, Myllyharju J, Quaggin S, Skovorodkin IN, Vainio SJ. (2016) CD146(+) cells are essential for kidney vasculature development. Kidney international, 90(2), 311–324. https://doi.org/10.1016/j.kint.2016.02.021

Hyvärinen T, Hagman S, Ristola M, Sukki L, Veijula K, Kreutzer J, Kallio P, Narkilahti S. (2019) Co-stimulation with IL-1β and TNF-α Induces an Inflammatory Reactive Astrocyte Phenotype with Neurosupportive Characteristics in a Human Pluripotent Stem Cell Model System. Scientific Reports 9 (1), 1694, November 2019. DOI: 10.1038/s41598-019-53414-9

Junttila S, Saarela U, Halt K, Manninen A, Pärssinen H, Lecca MR, Brändli AW, Sims-Lucas S, Skovorodkin I, Vainio SJ. (2015) Functional genetic targeting of embryonic kidney progenitor cells ex vivo. Journal of the American Society of Nephrology : JASN, 26(5), 1126–1137. https://doi.org/10.1681/ASN.2013060584

Karhula SS, Finnilä M, Rytky S, Cooper DM, Thevenot J, Valkealahti M, Pritzker K, Haapea M, Joukainen A, Lehenkari P, Kröger H, Korhonen RK, Nieminen HJ, Saarakkala S. (2020). Quantifying Subresolution 3D Morphology of Bone with Clinical Computed Tomography. Annals of biomedical engineering, 48(2), 595–605. https://doi.org/10.1007/s10439-019-02374-2

Kestilä I, Folkesson E, Finnilä MA, Turkiewicz A, Önnerfjord P, Hughes V, Tjörnstrand J, Englund M, Saarakkala S. (2019). Three-dimensional microstructure of human meniscus posterior horn in health and osteoarthritis. Osteoarthritis and cartilage, 27(12), 1790–1799. https://doi.org/10.1016/j.joca.2019.07.003

Koivusalo L, Kauppila M, Ilmarinen T, Samanta S, Parihar VS, Miettinen S, Oommen OP,* Skottman H.* (2019) Tissue Adhesive Hyaluronic Acid Hydrogels for Sutureless Stem Cell Delivery and Regeneration of Corneal Epithelium and Stroma, Biomaterials, 2019, 225, 119516

Kuismanen K, Juntunen M, Narra Girish N, Tuominen H, Huhtala H, Nieminen K, Hyttinen J, Miettinen S. (2018) Functional Outcome of Human Adipose Stem Cell Injections in Rat Anal Sphincter Acute Injury Model. Stem Cells Transl Med. 2018 Mar;7(3):295-304. DOI: 10.1002/sctm.17-0208

Lahti AL, Kujala VJ, Chapman H, Koivisto AP, Pekkanen-Mattila M, Kerkelä E, Hyttinen J, Kontula K, Swan H, Conklin BR, Yamanaka S, Silvennoinen O, Aalto-Setälä K. Model for long QT syndrome type 2 using human iPS cells demonstrates arrhythmogenic characteristics in cell culture. Dis Model Mech. 2012 Mar;5(2):220-30.

Lappalainen OP, Karhula S, Haapea M, Kyllönen L, Haimi S, Miettinen S, Saarakkala S, Korpi J, Ylikontiola LP, Serlo WS, Sándor GK. (2016) Bone healing in rabbit calvarial critical-sized defects filled with stem cells and growth factors combined with granular or solid scaffolds. Child’s nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery, 32(4), 681–688. https://doi.org/10.1007/s00381-016-3017-2

Lorite GS, Ylä-Outinen L, Janssen L, Pitkänen O, Joki T, Koivisto JT, Kellomäki M, Vajtai R, Narkilahti S, Kordas K. (2019) Carbon nanotube micropillars trigger guided growth of complex human neural stem cells networks. Nano Res. 12, 2894–2899. https://doi.org/10.1007/s12274-019-2533-2

Paakkola T, Salokas K, Miinalainen I, Lehtonen S, Manninen A, Kaakinen M, Ruddock LW, Varjosalo M, Kaarteenaho R, Uusimaa J, Hinttala R. (2018) Biallelic mutations in human NHLRC2 enhance myofibroblast differentiation in FINCA disease. Human molecular genetics, 27(24), 4288–4302. https://doi.org/10.1093/hmg/ddy298

Pelkonen A, Mzezewa R, Sukki L, Ryynänen T, Kreutzer J, Hyvärinen T, Vinogradov A, Aarnos L, Lekkala J, Kallio P, Narkilahti S. (2020) A modular brain-on-a-chip for modelling epileptic seizures with functionally connected human neuronal networks. Biosensors and Bioelectronics Volume 168, 15 November 2020. https://doi.org/10.1016/j.bios.2020.112553.

Rytky S, Tiulpin A, Frondelius T, Finnilä M, Karhula SS, Leino J, Pritzker K, Valkealahti M, Lehenkari P, Joukainen A, Kröger H, Nieminen HJ, Saarakkala S. (2020). Automating three-dimensional osteoarthritis histopathological grading of human osteochondral tissue using machine learning on contrast-enhanced micro-computed tomography. Osteoarthritis and cartilage, 28(8), 1133–1144. https://doi.org/10.1016/j.joca.2020.05.002

Shah D, Virtanen L, Prajapati C, Kiamehr M, Gullmets J, West G, Kreutzer J, Pekkanen-Mattila M, Heliö T, Kallio P, Taimen P, Aalto-Setälä K. Modeling of LMNA-Related Dilated Cardiomyopathy Using Human Induced Pluripotent Stem Cells. Cells.  2019 Jun 15;8(6):594. doi: 10.3390/cells8060594.

Sorkio A, Koch L, Koivusalo L, Deiwick A, Miettinen S, Chichkov B, Skottman H. (2018) Human stem cell based corneal tissue mimicking structures using laser-assisted 3D bioprinting and functional bioinks. Biomaterials. 2018 Jul;171:57-71. doi: 10.1016/j.biomaterials.2018.04.034. Epub 2018 Apr 16.

Turunen S, Joki T, Hiltunen M, Ihalainen T, Narkilahti S, and Kellomäki M. (2017) Direct Laser Writing of Tubular Microtowers for 3D Culture of Human Pluripotent Stem-Cell Derived Neuronal Cells. ACS Appl Mater Interfaces. 2017 Aug 9;9(31):25717-25730. doi: 10.1021/acsami.7b05536

Uusimaa J, Kaarteenaho R, Paakkola T, Tuominen H, Karjalainen MK, Nadaf J, Varilo T, Uusi-Mäkelä M, Suo-Palosaari M, Pietilä I, Hiltunen AE, Ruddock L, Alanen H, Biterova E, Miinalainen I, Salminen A, Soininen R, Manninen A, Sormunen R, Kaakinen M, Hinttala R. (2018) NHLRC2 variants identified in patients with fibrosis, neurodegeneration, and cerebral angiomatosis (FINCA): characterisation of a novel cerebropulmonary disease. Acta neuropathologica, 135(5), 727–742. https://doi.org/10.1007/s00401-018-1817-z

Vidal B, Cascão R, Finnilä M, Lopes IP, Saarakkala S, Zioupos P, Canhão H, Fonseca JE. (2018) Early arthritis induces disturbances at bone nanostructural level reflected in decreased tissue hardness in an animal model of arthritis. PloS one, 13(1), e0190920. https://doi.org/10.1371/journal.pone.0190920

Vuornos K, Ojansivu M, Koivisto JT, Häkkänen H, Belay B, Montonen T, Huhtala H, Kääriäinen M, Hupa L, Kellomäki M, Hyttinen J, Ihalainen JA, Miettinen S. (2019) Bioactive glass ions induce efficient osteogenic differentiation of human adipose stem cells encapsulated in gellan gum and collagen type I hydrogels. Mater Sci Eng C Mater Biol Appl. 2019 Jun;99:905-918. doi.org/10.1016/j.msec.2019.02.035

Back up ↑

Boutry CM et al. Biodegradable and flexible arterial-pulse sensor for the wireless monitoring of blood flow. Nat. Biomed. Eng., vol. 3, no. 1, pp. 47–57, Jan. 2019, doi: 10.1038/s41551-018-0336-5.

Chen LY, McConnell MV, Bao Z, et al. Continuous wireless pressure monitoring and mapping with ultra-small passive sensors for health monitoring and critical care. Nature Commun., vol. 5, article no. 5028, Oct. 2014.

Chen P, Saati S, Varma R, Humayun MS, Tai Y. Wireless intraocular pressure sensing using microfabricated minimally invasive flexible-coiled LC sensor implant. Journal of Microelectromechanical Systems, vol. 19, no. 4, pp. 721-734, Aug. 2010.

Dagdeviren C, Ramadi KB, Langer R. Miniaturized neural system for chronic, local intracerebral drug delivery. Sci. Transl. Med., vol. 10, no. 425, 10 pages, Jan. 2018.

Farandos NM, Yetisen AK, Monteiro MJ, Lowe CR, Yun SH. Contact lens sensors in ocular diagnostics. Advanced Healthcare Materials, vol. 4, no. 6. Wiley-VCH Verlag, pp. 792–810, 01-Apr-2015, doi: 10.1002/adhm.201400504.

Guner H et al. Sens. Actuators B, v239, pp 571-577. A smartphone based surface plasmon resonance imaging (SPRi) platform for on-site biodetection. https://www.sciencedirect.com/science/article/abs/pii/S092540051631293X

Hakala J, Kilpijärvi J, Särestöniemi M, Hämäläinen M, Myllymäki S, Myllylä T. Microwave sensing of brain water – A simulation and experimental study using human brain models. IEEE Access, Vol. 8, pp. 111303 – 111315, 2020. Print ISSN: 2169-3536, Online ISSN: 2169-3536, DOI: 10.1109/ACCESS.2020.3001867.

Hämäläinen M, Mucchi L, Girod-Genet M, Paso T, Farserotu J, Tanaka H, Anzai D, Pierucci L, Khan R, Alam MM, Dallemagne P. ETSI SmartBAN Architecture: the Global Vision for Smart Body Area Networks. IEEE Access, Vol. 8, pp. 150611 – 150625, 2020, Print ISSN: 2169-3536, Online ISSN: 2169-3536, DOI: 10.1109/ACCESS.2020.3016705.

Khan MWA, Sydänheimo L, Ukkonen L, Björninen T. Inductively powered pressure sensing system integrating a far-field data transmitter for monitoring of intracranial pressure. IEEE Sensors J., vol. 17, no. 7, pp. 2191–2197, Apr. 2017, doi: 10.1109/JSEN.2017.2661324.

Kim J, Campbell AS, de Ávila BEF, Wang J. Wearable biosensors for healthcare monitoring. Nature Biotechnology, vol. 37, no. 4. Nature Publishing Group, pp. 389–406, 01-Apr-2019, doi: 10.1038/s41587-019-0045-y.

Koh A et al. A soft, wearable microfluidic device for the capture, storage, and colorimetricsensing of sweat. Sci. Transl. Med., vol. 8, no. 366, pp. 366ra165-366ra165, Nov. 2016, doi: 10.1126/scitranslmed.aaf2593.

Lee S, Bristol RE, Preul MC, Chae J. Three dimensionally printed microelectromechanical-system hydrogel valve for communicating hydrocephalus. ACS Sens., vol. 5, no. 5, pp. 1398-1404, Mar. 2020.

Liu C, Zhao Y, Sheng X. A wireless, implantable optoelectrochemical probe for optogenetic stimulation and dopamine detection. Microsyst. Nanoeng., vol. 6, no. 64, 12 pages, Aug. 2020.

Liu S, Volakis J, Chae J. Fully pasive flexible wireless neural recorder for the acquisition of neuropotentials from a rat model. ACS Sens., vol. 4, no. 12, pp. 3175-3185, Oct. 2019.

Ma S, Björninen T, Sydänheimo L, Voutilainen M, Ukkonen L. Double split rings as extremely small and tuneable antennas for brain implantable wireless medical microsystems. IEEE Trans. Antennas Propag., 8 pages, Aug. 2020, doi: 10.1109/TAP.2020.3016459

Mickle AD, Won SM, Rogers JA. A wireless closed-loop system for optogenetic peripheral neuromodulation. Nature, vol. 565, pp. 361–365, Jan. 2019.

Mikkonen R, Puistola P, Jönkkäri I, Mäntysalo M. Inkjet Printable Polydimethylsiloxane for All-Inkjet-Printed Multilayered Soft Electrical Applications. ACS Applied Materials & Interfaces 2020 12 (10), 11990-11997, DOI: 10.1021/acsami.9b19632

Mucchi L, Vuohtoniemi R, Virk H, Conti A, Hämäläinen M, Iinatti J, Win M. Spectrum Occupancy and Interference Model based on Network Experimentations in Hospital. IEEE Transactions on Wireless Communications, on page(s): 1-10, Print ISSN: 1536-1276, Online ISSN: 1558-2248, DOI: 10.1109/TWC.2020.2995116.

Shao H et al. Chip-based analysis of exosomal mRNA mediating drug resistance in glioblastoma. Nat. Commun., vol. 6, no. 1, pp. 1–9, May 2015, doi: 10.1038/ncomms7999.

Särestöniemi M, Pomalaza-Ráez C, Kissi C, Berg M, Hämäläinen M, Iinatti J. WBAN channel characteristics between capsule endoscope and receiving directive UWB on-body antennas. IEEE Access, Print ISSN: 2169-3536, Online ISSN: 2169-3536, DOI: 10.1109/ACCESS.2020.2982247

Vuorinen T, Niittynen J, Kankkunen T, Kraft TM, Mäntysalo M. Inkjet-Printed Graphene/PEDOT:PSS Temperature Sensors on a Skin-Conformable Polyurethane Substrate. Sci Rep 6, 35289 (2016). https://doi.org/10.1038/srep35289

Vuorinen T, Noponen K, Jeyhani V, Aslam MA, Junttila MJ, Tulppo MP, Kaikkonen KS, Huikuri HV, Seppänen T, Mäntysalo M, Vehkaoja A. (2020) Unobtrusive, Low‐Cost Out‐of‐Hospital, and In‐Hospital Measurement and Monitoring System. Adv. Intell. Syst. doi:10.1002/aisy.202000030

Yang G, Xie L, Mäntysalo M, Zhou X, Pang Z, Xu LD, Kao-Walter S, Chen Q, Zheng L-R. A Health-IoT Platform Based on the Integration of Intelligent Packaging, Unobtrusive Bio-Sensor, and Intelligent Medicine Box. IEEE Transactions on Industrial Informatics, vol. 10, no. 4, pp. 2180-2191, Nov. 2014, doi: 10.1109/TII.2014.2307795.

Zaeimbashi M, Lin H, Sun N, et al. NanoNeuroRFID: A wireless implantable device based on magnetoelectric antennas. IEEE J. Electromagnetics, RF and Microwaves in Medicine and Biology, vol. 3, no. 3, pp. 206-215, Sep. 2019.

Zhou A, Santacrux SR, Johnson BC, Alexandrov G, Moin A, Burghardt FL, Rabaey JM, Carmena JM, Muller R. A wireless and artefact-free 128-channel neuromodulation device for closed-loop stumation and recording in non-human primates. Nat. Biomed. Eng., vol. 3, pp. 15-26, Jan. 2019.

Back up ↑

Bayramoglu N, Tiulpin A, Hirvasniemi J, Nieminen MT, Saarakkala S. Adaptive segmentation of knee radiographs for selecting the optimal ROI in texture analysis. Osteoarthritis Cartilage. 2020 Jul;28(7):941-952

Bruun M, Frederiksen KS, Rhodius-Meester HFM, Baroni M, Gjerum L, Koikkalainen J, Urhemaa T, Tolonen A, van Gils M, Rueckert D, Dyremose N, Andersen BB, Lemstra AW, Hallikainen M, Kurl S, Herukka S-K, Remes AM, Waldemar G, Soininen H, Mecocci P, van der Flier WM, Lötjönen J, Hasselbalch SG. Impact of a clinical decision support tool on prediction of progression in early-stage dementia: a prospective validation study. Alzheimer’s research & therapy, 11, 1, 25, 2019.  doi.org/10.1186/s13195-019-0482-3.

Cerdán de Las Heras J, Tulppo M, Kiviniemi AM, Hilberg O, Løkke A, Ekholm S, Catalán-Matamoros D, Bendstrup E. Augmented reality glasses as a new tele-rehabilitation tool for home use: patients’ perception and expectations.  Disabil Rehabil Assist Technol. 2020 Aug 4:1-7. doi: 10.1080/17483107.2020.1800111

Ermes M, Pärkkä J, Mäntyjärvi J, Korhonen I. Detection of Daily Activities and Sports With Wearable Sensors in Controlled and Uncontrolled Conditions. IEEE Transactions on Information Technology in Biomedicine, vol. 12, no. 1, pp. 20-26, Jan. 2008, doi: 10.1109/TITB.2007.899496.

Hall A, Pekkala T, Polvikoski T, van Gils M, Kivipelto M, Lötjönen J, Mattila J, Kero M, Myllykangas L, Mäkelä M, Oinas M, Paetau A, Soininen H, Tanskanen M, Solomon A. Prediction models for dementia and neuropathology in the oldest old: the Vantaa 85+ cohort study. Alzheimer’s Research & Therapy, 11(11), 2019. doi.org/10.1186/s13195-018-0450-3

Hartvigsen J, Hancock MJ, Kongsted A, Louw Q, Ferreira ML, Genevay S, Hoy D, Karppinen J, Pransky G, Sieper J, Smeets RJ, Underwood M; Lancet Low Back Pain Series Working Group. What low back pain is and why we need to pay attention. Lancet. 2018 Jun 9;391(10137):2356-2367

Hassani-Nezhad-Gashti F, Salonurmi T, Hautajärvi H, Rysä J, Hakkola J, Hukkanen J. Clin Pharmacol Ther. 2020. Pregnane X Receptor Activator Rifampin Increases Blood Pressure and Stimulates Plasma Renin Activity.

Hautajärvi H, Hukkanen J, Turpeinen M, Mattila S, Tolonen A. Quantitative analysis of 4β- and 4α‑hydroxycholesterol in human plasma and serum by UHPLC/ESI-HR-MS. J Chromatogr B Analyt Technol Biomed Life Sci. 2018 Nov 15;1100-1101:179-186.

Hintsala HE, Kiviniemi AM, Antikainen R, Mäntysaari M, Jokelainen J, Hassi J, Tulppo MP, Herzig KH, Keinänen-Kiukaanniemi S, Rintamäki H, Jaakkola JJK, Ikäheimo TM. High Home Blood Pressure Variability Associates With Exaggerated Blood Pressure Response to Cold Stress. Am J Hypertens. 2019 May 9;32(6):538-546. doi: 10.1093/ajh/hpz011

Kiviniemi AM, Hautala AJ, Karjalainen JJ, Piira OP, Lepojärvi S, Ukkola O, Huikuri HV, Tulppo MP. Acute post-exercise change in blood pressure and exercise training response in patients with coronary artery disease. Front Physiol. 2015 Jan 12;5:526. doi: 10.3389/fphys.2014.00526. eCollection 2014

Kiviniemi AM, Kenttä TV, Lepojärvi S, Perkiömäki JS, Piira OP, Ukkola O, Huikuri HV, Junttila MJ, Tulppo MP. Recovery of rate-pressure product and cardiac mortality in coronary artery disease patients with type 2 diabetes.  Diabetes Res Clin Pract. 2019 Apr;150:150-157. doi: 10.1016/j.diabres.2019.03.007. Epub 2019 Mar 11

Kiranyaz S, Ince T, Gabbouj M. Personalized Monitoring and Advance Warning System for Cardiac Arrhythmias. Scientific Reports, vol. 7, no. 9270, 24 August 2017, DOI 10.1038/s41598-017-09544-z (SREP-16-52549-T) (rdcu.be/vfYE).

Kiranyaz S, Ince T, Gabbouj M. Real-Time Patient-Specific ECG Classification by 1-D Convolutional Neural Networks. IEEE Transactions on Biomedical Engineering, DOI: 10.1109/TBME.2015.2468589, vol. 63, no. 3, pp. 664 – 675, 2016.

Kiranyaz S, Malik J, Abdallah HB, Ince T, Iosifidis A, Gabbouj M. Self-Organized Operational Neural Networks with Generative Neurons. http://arxiv.org/abs/2004.11778.

Kiranyaz S, Zabihi M, Rad AB, Ince T, Hamila R, Gabbouj M. Real-time Phonocardiogram Anomaly Detection by Adaptive 1D Convolutional Neural Networks. Neurocomputing, 19 May 2020, https://doi.org/10.1016/j.neucom.2020.05.063.

Koikkalainen J, Pölönen H, Mattila J, van Gils M, Soininen H, Lötjönen J. Improved Classification of Alzheimer’s Disease Data via Removal of Nuisance Variability. PloS one, 7(2), 2012.

Lehtovirta S, Mäkitie RE, Casula V, Haapea M, Niinimäki J, Niinimäki T, Peuna A, Lammentausta E, Mäkitie O, Nieminen MT. Defective WNT signaling may protect from articular cartilage deterioration – a quantitative MRI study on subjects with a heterozygous WNT1 mutation. Osteoarthritis Cartilage, 27:1636-1646, 2019.

Mattila J, Koikkalainen J, Virkki A, van Gils M, Lötjönen J; for the Alzheimer’s Disease Neuroimaging Initiative. Design and Application of a Generic Clinical Decision Support System for Multi-Scale Data. IEEE Transactions on Biomedical Engineering, 59(1) 234-40, 2012.

Nguyen HH, Saarakkala S, Blaschko MB, Tiulpin A. Semixup: In-and Out-of-Manifold Regularization for Deep Semi-Supervised Knee Osteoarthritis Severity Grading from Plain Radiographs. IEEE Trans Med Imaging. 2020 Aug 17;PP. doi: 10.1109/TMI.2020.3017007

Nieminen MT, Casula V, Nevalainen MT, Saarakkala S. Osteoarthritis year in review 2018: imaging. Osteoarthritis Cartilage. 2019 Mar;27(3):401-411

Saukkonen J, Määttä J, Oura P, Kyllönen E, Tervonen O, Niinimäki J, Auvinen J, Karppinen J. Association Between Modic Changes and Low Back Pain in Middle Age: A Northern Finland Birth Cohort Study. Spine (Phila Pa 1976). 2020 Apr 23. doi: 10.1097/BRS.000000000000352 State of the Art: Imaging of Osteoarthritis-Revisited 2020.

Roemer FW, Demehri S, Omoumi P, Link TM, Kijowski R, Saarakkala S, Crema MD, Guermazi A. Radiology. 2020 Jul;296(1):5-21

Seo YG, Salonurmi T, Jokelainen T, Karppinen P, Teeriniemi AM, Han J, Park KH, Oinas-Kukkonen H, Savolainen MJ. Lifestyle counselling by persuasive information and communications technology reduces prevalence of metabolic syndrome in a dose-response manner: a randomized clinical trial (PrevMetSyn). Ann Med. 2020 Sep;52(6):321-330. doi: 10.1080/07853890.2020.1783455.

Smits EJ, Tolonen AJ, Cluitmans L, van Gils M, Zietsma RC, Borgemeester RWK, van Laar T, Maurits NM. Graphical Tasks to Measure Upper Limb Function in Patients With Parkinson’s Disease:  Validity and Response to Dopaminergic Medication. IEEE Journal of Biomedical and Health Informatics, 99, 2015.

Teeriniemi AM, Salonurmi T, Jokelainen T, Vähänikkilä H, Alahäivälä T, Karppinen P, Enwald H, Huotari ML, Laitinen J, Oinas-Kukkonen H, Savolainen MJ. A randomized clinical trial of the effectiveness of a Web-based health behaviour change support system and group lifestyle counselling on body weight loss in overweight and obese subjects: 2-year outcomes. J Intern Med. 2018 Nov;284(5):534-545.

Tiulpin A, Klein S, Bierma-Zeinstra SMA, Thevenot J, Rahtu E, Meurs JV, Oei EHG, Saarakkala S. Multimodal Machine Learning-based Knee Osteoarthritis Progression Prediction from Plain Radiographs and Clinical Data. Sci Rep. 2019 Dec 27;9(1):20038.

Tiulpin A, Thevenot J, Rahtu E, Lehenkari P, Saarakkala S. Automatic Knee Osteoarthritis Diagnosis from Plain Radiographs: A Deep Learning-Based Approach. Sci Rep. 2018 Jan 29;8(1):1727.

Tran D, Kiranyaz S, Gabbouj M, Iosifidis A. Heterogeneous Multilayer Generalized Operational Perceptron. IEEE Transactions on Neural Networks and Learning Systems, (early access May 31, 2019), vol. 31, no. 3, March 2020, DOI: 10.1109/TNNLS.2019.2914082, pp. 710-724.

Tulppo MP, Huikuri HV, Mäkikallio TH, Seppänen T, Airaksinen KEJ: Heart rate dynamics during accentuated sympathovagal interaction. Am J Physiol. 274: H810-H816, 1998.

Tulppo MP, Kiviniemi AM, Kallio M, Hautala AJ, Pietarila P, Seppänen T, Mäkikallio TH, Huikuri HV. Physiological background of the loss of fractal heart rate dynamics. Circulation, Jul. 19;112(3):314-9, 2005

Tulppo MP, Kiviniemi AM, Lahtinen M, Ukkola O, Toukola T, Perkiömäki J, Junttila1 MJ, Huikuri HV. Physical Activity and the Risk for Sudden Cardiac Death in Patients with Coronary Artery Disease. Circulation A.E. 2020 Jun;13(6):e007908. doi: 10.1161/CIRCEP.119.007908.

Back up ↑

Ahokangas P, Perälä-Heape M, Jämsä T. 2015 Challenges and opportunities in health care management, 1 edited by Sebastian Gurtner; Katja Soyez, 01/2015: chapter Alternative Futures for Individualized Connected Health: pages 61-74; Springer International Publishing., ISBN: 978-3-319-12178-9

Dedehayir O, Mäkinen SJ, Ortt JR. (2018) Roles during innovation ecosystem genesis: A literature review, Technological Forecasting and Social Change. 136, s. 18-29.

Gomes JF et al. Towards business ecosystems for connected health. Finnish Journal of eHealth and eWelfare, [S.l.], v. 9, n. 2-3, p. 95-111, may 2017. ISSN 1798-0798.

Gomes JF, Iivari M, Pikkarainen M, Ahokangas P. (2018) Business Models as Enablers of Ecosystemic Interaction: A Dynamic Capability Perspective. International Journal of Social Ecology and Sustainable Development (IJSESD), 9(3), 1-13. doi:10.4018/IJSESD.2018070101.

Gomes JF, Kemppainen L, Pikkarainen M, Koivumäki T, Ahokangas P. Ecosystemic business model scenarios for connected health. Journal of Business Models (2019), Vol. 7, No. 4, pp. 27-33. http://journalofbusinessmodels.com/vol-7-no-4-2019/vol-7-no-4-05/

Grossi G, Reichard C, Thomasson A, Vakkuri J. (2017) Performance measurement of hybrid organizations – emerging issues and future research perspectives, Public Money & Management 37(6), 379-386.

Hakanen T, Helander N, Valkokari K. (2017) Servitization in global business-to-business distribution: The central activities of manufacturers. Industrial Marketing Management 5:63,  pp. 167-178.

Hakari K & Tynkkynen L-K. 2013. Governing the Innovation Process: Tools of Meta-Governance–The Kotitori Model in Tampere Finland. International Journal of Public and Private Healthcare Management and Economics 3(1): 1-16.

Haukipuro L, Väinämö S, Arhippainen L, Ojala T. (2019) Applying a Living Lab Approach Within an eHealth Accelerator. Technology Innovation Management Review, 9(3): 6-19. http://doi.org/10.22215/timreview/1221

Haukipuro L, Väinämö S, Hyrkäs P. (2018) Innovation Instruments to Co-Create Needs-Based Solutions in a Living Lab. Technology Innovation Management Review, 8(5): 22-35. http://doi.org/10.22215/timreview/1156

Haverinen J, Keränen N, Falkenbach P, Maijala A, Kolehmainen T, Reponen J. (2019) Digi-HTA: Health technology assessment framework for digital healthcare services. Finnish Journal of eHealth and eWelfare, 11(4), 326–341. https://doi.org/10.23996/fjhw.82538

Helander N & Vuori V. (2017) Value Co-creation Analysis in Customer–Supplier Network Relationships. In: Vesalainen et al.: Practices for Network Management, Palgrave Macmillan, pp. 251-262.

Hyppönen H, Lumme S, Reponen J, Vänskä J, Kaipio J, Heponiemi T, Lääveri T. (2019) Health information exchange in Finland: Usage of different access types and predictors of paper use. International journal of medical informatics 122, 1-6, 2019. https://doi.org/10.1016/j.ijmedinf.2018.11.005.

Hyppönen H, Reponen J, Lääveri T, Kaipio J. (2015) User experiences with different regional health information exchange systems in Finland. Int J Med Inform. 83(1):1-18. doi: 10.1016/j.ijmedinf.2013.10.002.

Hyrkäs P, Haukipuro L, Väinämö S, Iivari M, Sachinopoulou A, Majava J. (2020) Collaborative innovation in healthcare: a case study of hospitals as innovation platforms, International Journal of Value Chain Management, Vol. 11, No. 1, pp.24–41. https://www.inderscience.com/offer.php?id=105475

Häikiö J, Yli-Kauhaluoma S, Pikkarainen M, et al. Expectations to data: Perspectives of service providers and users of future health and wellness services. Health Technol. 10, 621–636 (2020). https://doi.org/10.1007/s12553-020-00410-z

Jalonen H, Helander N, Mäkelä L. (toim.) (2020) Arvostustalous — Kuinka arvostus rakennetaan ja rakentuu digiyhteiskunnassa. Vastapaino. 433 s.

Johanson J-E & Vakkuri J. (2017) Governing Hybrid Organisations. Exploring Diversity of Institutional Life. London, New York: Routledge.

Johnsen Å, van Helden J, Vakkuri J. (2012) Evaluating Public Sector Performance Management: The Life Cycle Approach, Evaluation 18 (2), 159-175. https://doi.org/10.1177/1356389012442978

Jormanainen V, Parhiala K, Reponen J. (2019) Highly concentrated markets of electronic health records data systems in public health centres and specialist care hospitals in 2017 in Finland. Finnish Journal of EHealth and EWelfare, 11(1-2), 109-124. https://doi.org/10.23996/fjhw.75554

Kaipio J, Lääveri T, Hyppönen H, Vainiomäki S, Reponen J, Kushnirukg A, Boryckig E, Vänskä J. (2017) Usability problems do not heal by themselves: National survey on physicians’ experiences with EHRs in Finland. International journal of medical informatics 97, 266-281. http://dx.doi.org/10.1016/j.ijmedinf.2016.10.010.

Karila A, Vakkuri J, Lehto J. (2020) Budgetary bias in the Finnish public hospital system. International Journal of Public Sector Management 33 (4), 401-418.

Koivumäki T, Pekkarinen S, Lappi M, Väisänen J, Juntunen J, Pikkarainen M. Consumer Adoption of Future MyData-Based Preventive eHealth Services: An Acceptance Model and Survey Study. J Med Internet Res 2017;19(12):e429. DOI: 10.2196/jmir.7821. PMID: 29273574. PMCID: 5756317

Kork A-A & Vakkuri J. (2016) Improving access and managing healthcare demand with walk-in clinic: Convenient, but at what cost? International Journal of Public Sector Management 29(2), 148-163.

Leikas J, Koivisto R, Gotcheva N. (2019) Ethical framework for designing autonomous systems. Journal of Open Innovation: Technology, Market, and Complexity (ISSN 2199-8531). Special Issue on Technology Driven Innovation, Research Management and Policy Making. J. Open Innov. Technol. Mark. Complex. 2019, 5, 18; doi:10.3390/joitmc5010018

Litovuo L, Makkonen H, Aarikka-Stenroos L, Luhtala L, Mäkinen S. (2017) Ecosystem approach on medical game development: The relevant actors, value propositions and innovation barriers. Association for Computing Machinery, ACM: AcademicMindtrek’17, Sept. 20th-21st, 2017 Tampere Hall, Tampere, Finland. Tampere, Finland: ACM Press, 10

Myllärniemi J & Helander N. (2012) Healthcare system as a value network. World Review of Entrepreneurship, Management and Sust. Development, Vol. 8, No. 2, 2012.

Mäkinen EI (2018): Complexity leadership theory and the leaders of transdisciplinary science. Informing Science: The International Journal of an Emerging Transdiscipline 21: 133–155. https://doi.org/10.28945/4009

Mäkinen EI, Evans ED, McFarland DA. (2020) The Patterning of collaborative behavior and knowledge culminations in interdisciplinary research centers. Minerva: A Review of Science, Learning and Policy 58(1): 71–95. https://doi.org/10.1007/s11024-019-09381-6

Mäkinen SJ. (2020) Sustainable Disruptive Innovation (SDI): Initiating Systemic Changes by Reconfiguring User Preferences. In: Leal Filho W., Azul A., Brandli L., Özuyar P., Wall T. (eds) Affordable and Clean Energy. Encyclopedia of the UN Sustainable Development Goals. Springer, Cham. https://doi.org/10.1007/978-3-319-71057-0_9-1

Niemelä R, Pikkarainen M, Ervasti M, Reponen J. (2019) The change of pediatric surgery practice due to the emergence of connected health technologies. Technological Forecasting and Social Change 146, 352-365.

Nieminen M, Gotcheva N, Leikas J, Koivisto R. (2019) Ethical AI for the Governance of the Society: Challenges and Opportunities. Proceedings of Third Annual Seminar on Technology Ethics 2019, Turku, Finland, October 23-24, 2019. Rantanen, M. M. & Koskinen, J. (eds.). CEUR-WS, 7 p. (CEUR Workshop Proceedings, Vol. 2505), pp. 20-27.

Pikkarainen M, Huhtala T, Kemppainen L, Häikiö J. (2019) Success factors for data–driven service delivery networks. Journal of Innovation Management, www.open-jim.org, 7(4), 14-46. https://doi.org/10.24840/2183-0606_007.004_0003

Pikkarainen M, Hyrkäs E, Martin M. (2020) Success Factors of Demand-Driven Open Innovation as a Policy Instrument in the Case of the Healthcare Industry. J. Open Innov. Technol. Mark. Complex. 2020, 6, 39.

Pikkarainen M, Koivumäki T, Iivari M. (2020) Seizing the Business Opportunities of the MyData Service Delivery Network: Transforming the Business Models of Health Insurance Companies, Journal of business models, Vol. 8, No. 2, pp. 39-56. http://journalofbusinessmodels.com/media/1355/v8n2-pp-39-56.pdf

Pikkarainen M, Pekkarinen S, Koivumäki T, Huhtala TT. (2018) Data as a driver for a shaping practices and innovation in preventive health care ecosystem. Journal of Innovation Management, 6(1), 55-79. https://hdl.handle.net/10216/111571

Saari U, Aarikka-Stenroos L, Köppä L, Langwaldt J, Boedeker S, Mäkinen S. (2018) Sustainable Business Model Ideation and Development of Early Ideas for Sustainable Business Models: Analyzing a New Tool Facilitating the Ideation Process, in Sustainable Business Models : Innovation, Implementation and Success. Aagaard, A. (ed.). Palgrave Macmillan, s. 119-150 (Studies in Sustainable Business In Association with Future Earth).

Saariluoma P & Leikas J. (2020) Designing Ethical AI in the Shadow of Hume’s Guillotine. In: Ahram T., Karwowski W., Vergnano A., Leali F., Taiar R. (eds) Intelligent Human Systems Integration 2020. IHSI 2020. Advances in Intelligent Systems and Computing, vol 1131, pp. 594.599. Springer, Cham

Tynkkynen L-K, Vrangbaek K. 2018. Comparing public and private providers: a scoping review of hospital services in Europe. BMC Health Services Research 18:141.

Vakkuri J & Johanson J-E. (2020) Failed promises – performance measurement ambiguities in hybrid universities. Qualitative Research in Accounting and Management 17 (1), 33-50.

Vakkuri J & Johanson J-E. (Forthcoming) Hybrid governance, organisations and society. Value creation perspectives. Abingdon & New York, Routledge, to be published in October, 2020.

Viitanen J, Hyppönen H, Lääveri T, Vänskä J, Reponen J, Winblad I. (2011) National questionnaire study on clinical ICT systems proofs: physicians suffer from poor usability. Int J Med Inform. 80(10):708-25.

Värri A, Kranz-Zuppan P, de la Cruz R. IEC 62304 Ed. 2: Software Life Cycle Standard for Health Software. Proceedings of MEDINFO 2019: Health and Wellbeing e-Networks for All, Ohno-Machado L and Séroussi B. (Eds.), pp. 868-872. IOS Press. https://doi.org/10.3233/SHTI190347

Väyrynen H, Helander N, Vasell T. (2017) Knowledge management for open innovation: comparing research results between SMEs and large companies. International Journal of Innovation Management, 21 (05), 2017

Wise PH, Shaw GM, Druzin ML, Darmstadt GL, Quaintance C, Mäkinen EI, et al. (2017) Risky business: Meeting the structural needs of transdisciplinary science. Journal of Pediatrics 91: 255–258. https://doi.org/10.1016/j.jpeds.2017.08.072

Ylilehto MH, Saarivesi E, Reponen J, Liljamo P. (2019) Combining end-user recruitment methods for usability testing of eTriage Service . Finnish Journal of EHealth and EWelfare, 11(4), 311–319. https://doi.org/10.23996/fjhw.82596

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