Endometriosis often takes years to diagnose. This ultrasound simulation innovation could help change that
Updated
March 17, 2026 1:01 AM
A group of women facing backwards. PHOTO: UNSPLASH
Endometriosis affects roughly one in ten women worldwide, yet diagnosing the condition often takes years. In many cases, patients experience symptoms for nearly a decade before receiving a confirmed diagnosis. One reason is that detecting endometriosis through ultrasound requires specialized training and clinicians do not always encounter enough real cases to build that expertise.
To address this gap, medical simulation company Surgical Science has introduced a new ultrasound training module designed specifically for identifying endometriosis. The system allows clinicians to practice scanning techniques in a virtual environment, helping them recognize signs of the disease without relying solely on real-patient cases.
A key feature of the simulator is training on the “sliding sign,” an ultrasound indicator used to detect deep endometriosis. Because the condition can appear differently from patient to patient, mastering this assessment in real clinical settings can be difficult. The simulator allows clinicians to repeat the process across multiple scenarios, improving their ability to identify the condition during routine examinations.
The module also incorporates the International Deep Endometriosis Analysis (IDEA) protocol, which provides a structured method for performing a complete pelvic ultrasound assessment. Additional training cases, region-based scenarios and certification options are included to support standardized learning.
Early training results suggest strong improvements in clinician confidence, including higher skill levels in transvaginal ultrasound and better recognition of deep endometriosis. By expanding access to structured ultrasound training, simulation tools like this could help reduce diagnostic delays and improve care for millions of women living with the condition.
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When farm challenges grow, smart tools need to grow with them.
Updated
January 8, 2026 6:32 PM
A drone spraying water over an agricultural field. PHOTO: FREEPIK
Farms today are under pressure. Fields are getting bigger, workers are harder to find and many jobs still rely on long hours of manual labor. XAG’s new P150 Max agricultural drone is designed for exactly this reality. Instead of replacing farmers, it takes over the heavy, repetitive fieldwork that slows them down, making farm operations more efficient and more precise.
The P150 Max is built around one simple idea: a single machine that can handle multiple farming tasks. Most farm drones focus only on spraying or mapping, but this one is fully modular. With a quick switch of attachments, it can spray crops, spread seeds or fertilizer, map fields or transport supplies. This flexibility helps farmers keep up with changing tasks throughout the day without needing different machines, improving both productivity and cost-efficiency.
A key challenge in agriculture is that fields are rarely smooth or predictable. Tractors can get stuck, smaller drones can’t carry much and some areas—like orchards or hilly plots—are simply hard to reach. The P150 Max fills that gap with an 80-kilogram payload and fast flight speed, letting it cover more ground per trip. Fewer takeoffs mean less downtime and more work completed before weather or daylight cuts operations short.
When it’s time to spray, the drone uses a smart spraying system that allows farmers to adjust droplet size based on the crop’s needs. This matters because precise spraying reduces waste and improves targeting. With an output of up to 46 liters per minute, the drone can serve both large open fields and dense orchards where consistent coverage is traditionally difficult.
The spreading system applies the same logic. Instead of dropping seeds or fertilizer unevenly, the vertical mechanism spreads material smoothly and resists wind drift. This ensures uniform application across irregular or hard-to-reach land—an ongoing challenge for modern farms aiming for higher yield and better resource use.
Another everyday issue for farmers is understanding and surveying the land before working on it. The P150 Max helps here with a built-in mapping tool that covers up to 20 hectares per flight and instantly converts the images into detailed maps. With AI detecting obstacles like trees or irrigation lines, the drone can plan safe and efficient autonomous routes, reducing manual planning time.
Beyond spraying and spreading, the drone can transport tools, produce and farm supplies using a sling attachment. This is particularly helpful after heavy rain, when vehicles cannot easily move across muddy or flooded fields.
Under all these functions is XAG’s upgraded flight control system, which provides centimeter-level accuracy even when network signals are weak. Integrated sensors—including 4D radar and a wide-angle camera—help the drone recognize hazards such as poles and wires. Farmers can manage all operations through the XAG One app or a handheld controller, both of which automatically generate the best route based on field shape and terrain.
Since long field days require long operating hours, the fast-charging battery system can recharge in about seven minutes using a dedicated kit. This supports continuous drone use throughout the day with minimal interruptions.
After years of testing, the XAG P150 Max is essentially an effort to make practical, scalable farm automation more accessible. By combining spraying, spreading, mapping and transport into one heavy-duty platform, it offers a way to ease labor shortages while keeping operations efficient and sustainable. Instead of focusing on one task, the drone aims to take over the time-consuming physical work so farmers can focus on decisions, planning and crop management.