Sperm detection and tracking methods from this paper: https://arxiv.org/abs/2002.04034

PeriodTracker - Your Personal Health Companion

Visualises access to Assisted Reproductive Technology clinics in Australia, as well as fertility data globally

Code for the paper "Human capital mediates natural selection in contemporary humans"

A web application for predicting the chance of an IVF/ICSI cycle yielding a D5 embryo suitable for transfer or freezing.

A mobile app that helps TTC couples to track their fertility.

Eddie's Brass Relational Gompertz Fertility Model Code

Artifacts for the JIB Bahmni distribution

Android app that helps women interpret ovulation and pregnancy test strips by quantifying using the phone's camera. Still works on Android 10. Original dev open-sourced because of lack of time to maintain (kudos to them). Mirror of https://gitlab.com/colnix/fta

R code to reproduce models testing for cross-national human fertility patterns relative to underlying drivers

Predicting the probability of an IVF patient having an embryo suitable for D5 transfer or freezing.

Fertility Diagnoser is a web application that utilizes machine learning to predict fertility levels. By inputting relevant data such as age and other factors, users can receive personalized predictions about their fertility. The application seamlessly integrates React and Python, offering a user-friendly interface and accurate predictions.

Tanulmányomban az egy főre eső GDP és munkanélküliség teljes termékenységi arányszámra gyakorolt hatását elemzem. A választott eszközök között szerepel az Engel-Granger kointegrációs teszt, amellyel megerősítettem a hipotézist, hogy szomszédos országok termékenységi rátájának alakulása általában nagyobb egyezőséget mutat, melynek magyarázata leh…

This project analyzes the demographic transition in the United States, focusing on historical changes in fertility and mortality patterns. Using models like Lee-Carter and Renshaw-Haberman, it explores the impact of socio-economic factors, healthcare advancements, and cultural shifts on population dynamics, forecasting trends for the next 50 years.

A deep learning computer vision model to predict the fertility status of women based on their cervical mucus images.

Fertility , Longevity and Economic Growth

Laura Symul's personal website