Infertility

Multi-view vision system for laparoscopy surgery.

PURPOSE: A global endoscopic view of the surgical field could help avoid complications such as perforation of occluded organs and may reduce the endoscope displacements and also the usual time of laparoscopic procedure using a conventional endoscopy system. An augmented laparoscopy system was developed by increasing the field of view of a traditional endoscope. This system was implemented and test...

PelviNeXt: A Modality-Agnostic Hybrid Network for Pelvic Imaging in Women's Health

Women's health remains substantially under-resourced in medical imaging research, with pelvic pathologies such as polycystic ovary syndrome (PCOS) and pelvic fracture both suffering from a scarcity of public, well-annotated benchmark data despite their clinical importance. We introduce PelviNeXt, a modality-agnostic hybrid architecture combining a dense convolutional feature extractor, hierarchica...

Cross-Modal MRI Ovary Segmentation in Endometriosis Using Unpaired TVUS Prototype Priors

Transvaginal ultrasound (TVUS) and magnetic resonance imaging (MRI) provide complementary information for endometriosis image analysis, yet existing s...

Heterogeneity-Aware Deep Learning for Tumour Classification from Multiparametric MRI

Intra-tumoural heterogeneity (ITH) reflects spatial variation in tumour biology and is an important determinant of tumour behaviour, prognosis, and tr...

Automatic Field-of-View Adjustment for a View-Expansive Microscope via LSTM-Based Gaze and Pipette Motion Interpretation

Intracytoplasmic sperm injection (ICSI) operators frequently adjust the field-of-view (FOV) during procedures, which interrupts workflow and increases...

Explainable HGT-based framework for predicting human dark kinase protein-pathway associations by leveraging BERT-based embeddings and WGAN-GP

Discovery of pathway associations and druggability can leverage underutililized dark kinase genes for treating complex diseases (proven for cancer and...

A digital health approach for identifying polyendocrine metabolic ovarian syndrome using machine learning and body temperature

Background Polyendocrine Metabolic Ovarian Syndrome (PMOS), formerly known as Polycystic Ovary Syndrome (PCOS), is a prevalent endocrine disorder with...

Adversarial Validation Reveals Diagnostic Workflow Leakage in PCOS Machine Learning Models

Background: Machine-learning models for polycystic ovary syndrome (PCOS) and other conditions frequently report near-perfect diagnostic performance, b...

Vis2Reg: Visibility-Aware Landmark-Free Geometric 3D--2D Registration for Liver Laparoscopy

Accurate 3D--2D liver registration, which aligns preoperative 3D models to partial, view-dependent intraoperative surface observations, is critical fo...

Site-dependent transcriptomic signatures of endometriosis are conserved across hormonal states

Endometriosis, a chronic condition in which endometrial tissue grows at other sites in the body, produces lesions whose gene expression profiles vary ...

Analytical perturbation reveals hidden instability of biological phenotypes

Background Unsupervised machine learning has become a cornerstone of computational phenotyping across clinical medicine, genomics, imaging, and multi-...

Two-tower models for genomic prediction of reproductive outcomes and sex-specific fertility liabilities: simulation insights

Many biological characteristics arise by interactions between more than one biological organism or unit. Fertilization success in sexually reproducing...

Predicting Male Fertility Using Machine Learning: A Semen Parameters Based Analysis with the VISEM Dataset

Male infertility is a significant yet often underdiagnosed aspect of reproductive health, with semen analysis serving as the cornerstone of clinical e...

Metabolomic signatures support the diagnostics of peritoneal endometriosis using generalised linear models.

Endometriosis, a common inflammatory gynecological disorder affecting up to 10% of women worldwide, is characterized by the presence of endometrium-li...

Reinforcement Learning for Chronic Care Pathway Optimization: A Unified Framework across Three Clinical Goal Types

Objective: Chronic care requires sequential treatment under competing biomarker, safety, and cost constraints, yet clinical goal structures differ acr...

Deep Learning for Semen Analysis in Male Infertility: Computer Vision, Multimodal Fusion, and Clinical Translation

Male infertility contributes substantially to the global infertility burden, and sperm analysis remains central to diagnosis, treatment planning, and ...

Decoding the regulatory genetic architecture of endometriosis using AlphaGenome

Background Endometriosis is a complex, estrogen-dependent disease with a strong genetic component. Although genome-wide association studies (GWAS) hav...

Predicting Chemotherapy Response from Staging Laparoscopy Images

BackgroundFor patients with metastatic gastrointestinal cancers, chemotherapy resistance is a common phenomenon that, if known in advance, would allow...

Blasto-Net: An Explainable Multi-Task Learning for Blastocyst Segmentation, Grading, and Implantation Prediction

This study introduces Blasto-Net, a multi-task deep learning model for comprehensive blastocyst analysis. The proposed model performs three tasks simu...

Interpretable Sperm Morphology Classification via Attention-Guided Deep Learning

Male infertility is a major cause of couple infertility, often linked to abnormal sperm morphology. While deep learning models offer automated analysi...