A vast, untapped source of biomedical information may be sitting on the shelves of old libraries. Researchers at the Mayo Clinic College of Medicine created a new system for combining previously discrete methods of inquiry into plants used by traditional healers, cross-checking old medical texts with chemical screening efforts:
[T]he Ambonese Herbal is a 17th century medical text compiled by Gregory Everhard Rumpf, Rumphius, a German botanist. [It] explains the medical uses of almost 1300 native species of the Malay archipelago where Rumphius was stationed. The records are based on his questioning of local people on traditional healing treatments.Rumphiuss work is one of many historical texts documenting what is know as ethnomedical information... in which shamans or healers were consulted to identify valuable species. In recent years, this approach has given way to high-throughput screening, in which thousands of random specimens are methodically tested by robotic technicians. ...
Eric Buenz ... has proposed a new, hybridized approach that combines the best aspects of both sources. Buenz and his colleagues analyzed the first volume of the Ambonese Herbal to test the new procedure. After translating the text into English from its original Dutch and Latin, two reviewers went through the volume and extracted all medical references. Afterwards, they drew up a table listing each species, the symptoms for which the plant was prescribed, and thus, its likely pharmacological function and abilities. This list of species was then checked against the International Plant Names Index database to identify misspellings and synonyms. Following this step, each species was looked up in NAPRALERT, a database listing all known biochemical and ethnomedical references to plants.
But this is only the beginning.
As technologies improve, bioprospecting in historical texts should become easier and more accurate:
The next step, says Mr Buenz, is to scale up and automate the process. "Our work with the Rumphius herbal was a proof of concept," he says. "The push now is to make the project high throughput with bioinformatics." Book scanners, he observes, have become cheaper and more efficient in recent years. The latest models can scan 1,000 pages an hour, yet are gentle enough to handle old and delicate tomes. And by using natural-language processing software to look for particular expressions, and cross-referencing potential matches with medical and botanical databases, the text can be analysed quickly. Manually combing through the text of the first volume of the "Ambonese Herbal " took four weeks, says Mr Buenz, but his experimental automated system did the same work in a few hours.
While there remain concerns about how plant samples are gathered in the wild, and who benefits from these discoveries, this seems to me to be a great example of the ancient knowledge and emergiong technologies together to help us create tools for building a better future.
In some ways, this reminds me of CLIWOC. I wonder what other realms of traditional or historical knowledge might be suitable for new efforts at exploration?








