With the advancement and sophistication of modern technology, artificial intelligence has seamlessly coalesced into the field of medicine. In fact, AI technology has recently been viewed as an asset of precision medicine that can outmaneuver tough medical problems.
Artificial Intelligence In Medicine
The presence of artificial intelligence in the field of medicine is nothing new. Last month, a team of scientists at the California NanoSystems Institute at UCLA has developed a new technique using artificial intelligence to efficiently detect cancer cells without damaging blood samples, as previously reported.
Today, experts found artificial intelligence could speed up the discovery of drugs that can help slow down the progression of dementia and Alzheimer's disease. According to OZY, experts reportedly designed AI technology-driven platform that can probe into the genome for mechanisms that underlie disease or scan and identify millions of molecules that are helpful and effective as drugs.
In addition, artificial intelligence could also yield faster diagnoses. With the help of software that detects cognitive decline from voice recordings or malaria from microscopic slides, Seattle's Intellectual Ventures Laboratory principal research scientist Courosh Mehanian said AI could be useful in tackling challenging medical issues.
Artificial Intelligence: A Powerful Asset For Precision-Based Medicine
Experts also said that using artificial intelligence in the field of medicine could have major impacts, particularly in rare and tropical diseases. AI could also be a powerful asset for precision-based medicine, where diagnostics and treatment can be tailor-made to individual patients.
Aside from being an effective tool for precision medicine, artificial intelligence could also help pharmaceutical companies in determining how a patient will respond to a drug based on their genetic profile, hence, minimizing its side effects.
Artificial Intelligence In Dementia And Alzheimer's Disease Diagnosis
Today, artificial intelligence has indeed proved its ubiquity in the field of medicine. In fact, Winterlight Labs founder Frank Rudzicz has used AI in its machine learning-based software to detect cognitive impairment from one- to five-minute speech snippets, Alzheimer's News Today reveals.
Through AI, the company can recognize differences in features such as pitch and grammatical complexity between people with and without Alzheimer's. The software would then send its five-minute analysis to a doctor.
Artificial Intelligence In Genomic Medicine
Toronto's Deep Genomics, on the other hand, used artificial intelligence to interpret the genomic variations to understand certain diseases and yield more precise diagnosis and treatments. The company's CEO Brendan Frey is hopeful that AI could revolutionize the way pharmaceutical research is done.
Artificial Intelligence In Malarial Parasite Detection
Intellectual Ventures Laboratory's Autoscope relies on deep learning to detect the malaria parasite from blood films on glass microscope slides, Futurism notes. In a recent field evaluation in Thailand, the Autoscope has correctly classified 170 slides using characteristics like shape and texture.
Unfortunately, the target cost for Autoscope is about $1,500. So, it's intended for clinics with sufficient resources. Autoscope is expected to be released in 2017.
Artificial Intelligence In Drug Design
Artificial intelligence is also useful in drug design. Atomwise's deep learning-based system known as AtomNet teaches itself how to identify medicinal chemistry building blocks based on previous research data. Due to this newfound AI innovation, the San Francisco-based company is reportedly collaborating with researchers to find potential drug molecules for cancer, neurological diseases and others.
Meanwhile, Atomwise COO Alexander Levy notes that artificial intelligence is not a meta-solution to every problem in the development of medicine. However, AI technologies do have the potential to yield faster, more precise diagnostics that could lower healthcare costs.
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