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The Latest Bio-Piracy: Big Pharma Co-Opts Ancient Flower That Heals 96% Of All Diabetics

 

When pharmaceutical companies can’t recreate mother nature’s astounding healing abilities, they simply co-opt them. Of course, they do this so that they can patent a drug, when a real plant is freely available to the world in a non-pharmaceutical form, to make billions off of their ‘invention.’ Big Pharma’s latest attempt to profit from the offerings of the natural world comes in the form of an ancient flower. This stocky, furry-stemmed plant with yellow buds has been found to practically cure diabetes Type 2. Does the modern medical establishment promote the use of the whole flower? Nope. They can’t make any money off of that remedy. Instead they eagerly take it to a lab and start trying to mimic its ‘active’ compounds and isolate them.

Israeli scientists conducted studies on Chiliadenus iphionoides, also known as sharp varthemia. Dr. Jonathan Gorelick of the Judea Research and Development Center recently presented the published findings at a conference. They concluded that, “Chiliadenus iphionoides exhibits considerable anti-diabetic activity, although the mechanism of action remains to be determined.”

This is the rub. Scientists often can’t figure out exactly how a plant does its magical, miraculous healing, so they dissect it to bits, and create a drug. The problem is that the isolated phytoactive compounds are often either chemically reproduced, or they simply don’t account for the synergistic way that multiple plant compounds and phytonutrients work together to make a plant’s medicine efficacious.

Though scientists who studied sharp varthemia discovered the flower worked on both cellular and animal models to help control blood sugar – the researchers admit they don’t know exactly how this is possible. That didn’t stop Big Pharma from jumping on the findings to try to recreate a marketable drug.

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Seeing the Whole Season: How Continuous Crop Modeling Is Changing Breeding

Video: Seeing the Whole Season: How Continuous Crop Modeling Is Changing Breeding

Plant breeding has long been shaped by snapshots. A walk through a plot. A single set of notes. A yield check at the end of the season. But crops do not grow in moments. They change every day.

In this conversation, Gary Nijak of AerialPLOT explains how continuous crop modeling is changing the way breeders see, measure, and select plants by capturing growth, stress, and recovery across the entire season, not just at isolated points in time.

Nijak breaks down why point-in-time observations can miss critical performance signals, how repeated, season-long data collection removes the human bottleneck in breeding, and what becomes possible when every plot is treated as a living data set. He also explores how continuous modeling allows breeding programs to move beyond vague descriptors and toward measurable, repeatable insights that connect directly to on-farm outcomes.

This conversation explores:

• What continuous crop modeling is and how it works

• Why traditional field observations fall short over a full growing season

• How scale and repeated measurement change breeding decisions

• What “digital twins” of plots mean for selection and performance

• Why data, not hardware, is driving the next shift in breeding innovation As data-driven breeding moves from research into real-world programs, this discussion offers a clear look at how seeing the whole season is reshaping value for breeders, seed companies, and farmers, and why this may be only the beginning.