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

PeriodTracker - Your Personal Health Companion

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

This app projects a user-defined Leslie (age-classified) matrix to examine population changes through time.

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

Open Fertility is an open-source project dedicated to advancing fertility analysis and prediction through machine learning.

Applied Demography Toolbox

Excel sheets, Stata do files and other resources related to the article 'Pathways to Low Fertility' by Ian Timaeus and Tom Moultrie

PrESOgenesis is a Support Vector Machine-based classifier to predict the spermatogenesis/embryogenesis/oogenesis related proteins based on 1920 meaningful protein sequence features.

Comprehensive 4-month preconception guide for germline purity. Tracks lifestyle, nutrition, exercise, and stress for maximum reproductive health. Includes timelines, evidence-based checkpoints, and tools for monitoring progress and optimizing gamete quality for men and women.

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

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

Artifacts for the JIB Bahmni distribution

Hauer, Baker, and Brown's Implied Total Fertility Rate Calculator

Farid FLICI personal webpage

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.

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

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.