Animal eHealth part 3
Can a hybrid person-machine system improve the practice of transferring bovine embryos produced in vitro ?
- Alline de Paula Reis, assistant professor, animal productions, National Veterinary School of Alfort
In vitro production (IVP) represents more than 50% of global bovine embryo transfer activity. We have recently developed a hybrid person-machine system based on embryo morphokinetics to predict the quality of the IVP embryo. The predictor presents a satisfactory robustness (Sp: 0.83 – 0.97; Se: 0.4 – 0.87; PPV: 0.54 – 0.96; NPV: 0.88 – 0.96). This method opens up new possibilities for the understanding and assessment of the embryo. The ultimate aim is to standardise the classification of embryos and to improve the global yield of bovine IVP.
AI in pig breeding, a reality and a multitude of opportunities
- Michel Marcon, precision Livestock Farming Engineer, French Pig and porck reasearch organization
Just like for the digital, industrial and business sectors, artificial intelligence (AI) has integrated the breeding sector. The opportunities are infinite and the first solutions are already on the market. For example, it is possible to determine the weight of a pig by using a simple security camera in order to define the best possible feeding strategies. From a health point of view, for the past 3 years a microphone with an integrated machine learning algorithm allows to detect coughing in real time. AI enables the early detection of pathologies by monitoring the animal’s weight and behaviour. Soon, face recognition and the detection of agressive behaviour will be possible by image analysis using neural networks.
Discover the veterinary clinic of tomorrow
- Vincent Bailleul, digital manager, MSD Santé Animale
- Grégory Santaner, founder and Managing Director, VetoNetwork
What will the veterinary clinic of the future look like? MSD Santé Animale (MSD Animal Health) wanted to rise to the challenge of answering this question by using virtual reality. Experts and developers have worked together to imagine and create this module which plunges you into a veterinarian establishment in 2027.
From the reception to the consultation room, you will be able to discover a veterinarian environment where the customer pathway and the medical tools at the disposal of the veterinary team are strongly linked to data and artificial intelligence.