Integrating machine learning and biosensors in microfluidic devices: a review.

G Antonelli, J Filippi, M D'Orazio, G Curci… - Biosensors and …, 2024 - Elsevier
Microfluidic devices are increasingly widespread in the literature, being applied to numerous
exciting applications, from chemical research to Point-of-Care devices, passing through drug …

Machine learning phenomics (MLP) combining deep learning with time-lapse-microscopy for monitoring colorectal adenocarcinoma cells gene expression and drug …

M D'Orazio, M Murdocca, A Mencattini, P Casti… - Scientific Reports, 2022 - nature.com
High-throughput phenotyping is becoming increasingly available thanks to analytical and
bioinformatics approaches that enable the use of very high-dimensional data and to the …

Prostate cancer detection using e-nose and AI for high probability assessment

JB Talens, J Pelegrí-Sebastiá, T Sogorb… - BMC medical informatics …, 2023 - Springer
This research aims to develop a diagnostic tool that can quickly and accurately detect
prostate cancer using electronic nose technology and a neural network trained on a dataset …

Chemical Profiling and Enzyme Inhibitory Activities of Essential Oil Isolated from Pistacia khinjuk Leaves: Insights On GC‐MS Analysis and Skin Aging‐Relevant …

H Kamli, AAM Ali, YH Salem, A Shaikh… - Chemistry & …, 2024 - Wiley Online Library
Pistacia khinjuk is a species of flowering plants belonging to family Anacardiaceae, with
promising pharmacological activities like antioxidants, anti‐inflammatory, antiviral, and …

Machine learning approach for recognition and morphological analysis of isolated astrocytes in phase contrast microscopy

EV Yakovlev, IV Simkin, AA Shirokova, NA Kolotieva… - Scientific Reports, 2024 - nature.com
Astrocytes are glycolytically active cells in the central nervous system playing a crucial role
in various brain processes from homeostasis to neurotransmission. Astrocytes possess a …

S3-VAE: A novel Supervised-Source-Separation Variational AutoEncoder algorithm to discriminate tumor cell lines in time-lapse microscopy images

P Casti, S Cardarelli, MC Comes, M D'Orazio… - Expert Systems with …, 2023 - Elsevier
The derivation of input–output relationships in deep learning architectures is mostly a black-
box process, in which uninformative or confounding factors might bias the classification …

[HTML][HTML] Cells in the 3D biomatrix on-chip: better mimicking the real micro-physiological system

M D'Orazio, J Filippi, G Antonelli, G Curci, P Casti… - Next Materials, 2024 - Elsevier
Recent advances in microfluidic technology and biomaterial science have augmented the
use of organ-on-chip (OoC) technology to closely mimic the human pathophysiology. Thus, it …

Single-cell classification based on label-free high-resolution optical data of cell adhesion kinetics

KD Kovacs, B Beres, N Kanyo, B Szabó, B Peter… - Scientific Reports, 2024 - nature.com
Selecting and isolating various cell types is a critical procedure in many applications,
including immune therapy, regenerative medicine, and cancer research. Usually, these …

Artificial intelligence assisted patient blood and urine droplet pattern analysis for non-invasive and accurate diagnosis of bladder cancer

R Demir, S Koc, DG Ozturk, S Bilir, Hİ Ozata… - Scientific Reports, 2024 - nature.com
Bladder cancer is one of the most common cancer types in the urinary system. Yet, current
bladder cancer diagnosis and follow-up techniques are time-consuming, expensive, and …

Changes in expression of mesothelial BBS genes in 2D and 3D after lithium chloride and ammonium sulphate induction of primary cilium disturbance: a pilot study

E Rouka, RM Jagirdar, I Sarrigeorgiou, E Pitaraki… - Pharmacological …, 2023 - Springer
Background Malignant pleural mesothelioma (MPM), a rare and aggressive pleural tumor,
has significant histological and molecular heterogeneity. Primary Cilium (PC), an organelle …