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FDA Okays AI-Based Prostate Cancer Risk-Stratification Tool

The US FDA has granted De Novo marketing authorization for ArteraAI Prostate (Artera, Los Altos, California), a novel artificial intelligence (AI)-powered risk-stratification tool for patients with nonmetastatic prostate cancer.

The authorization means the digital pathology software tool is recognized as an FDA-regulated Software as a Medical Device, Artera explained in a press release.

De Novo authorization provides a marketing pathway to classify low-or moderate-risk novel medical devices. The De Novo authorization for this specific test establishes a new product code category for future AI-powered digital pathology risk-stratification tools and enables implementation at the point of diagnosis at qualified US pathology labs, the company said.

The test analyzes digital pathology images from patients’ biopsy slides to predict long-term outcomes, such as 10-year risk for metastasis and mortality. This can help direct treatment decisions.


The FDA’s De Novo authorization for the tool establishes a new product code category for future AI-powered digital pathology risk-stratification tools.

ChatGPT in Your Clinic: Who’s the Expert Now

Patients arriving at appointments with researched information is not new, but artificial intelligence (AI) tools such as ChatGPT are changing the dynamics.

Their confident presentation can leave physicians feeling that their expertise is challenged. Kumara Raja Sundar, MD, a family medicine physician at Kaiser Permanente Burien Medical Center in Burien, Washington, highlighted this trend in a recent article published in JAMA.

A patient visited Sundar’s clinic reporting dizziness and described her symptoms with unusual precision: “It’s not vertigo, but more like a presyncope feeling.” She then suggested that the tilt table test might be useful for diagnosis.

Occasionally, patient questions reveal subtle familiarity with medical jargon. This may indicate that they either have relevant training or have studied the subject extensively.

(Artificial Intelligence is the science of making machines do things that would require intelligence if done by men — Marvin Minsky. Google helps you gain information with a search engine. AI helps you gain information through algorithms. It is the same thing. However people profit from ignorance).


Patients are showing up with ChatGPT-generated diagnoses, challenging physicians to balance empathy, evidence, and authority in the exam room.

Bioengineering and Biotechnology Approaches in Cardiovascular Sciences, Volume III

Prosthetic heart valves (PHV) have been studied for around 70 years. They are the best alternative to save the life of patients with cardiac valve diseases. However, current PHVs may still cause significant disadvantages to patients. In general, native heart valves show complex structures and reproducing their functions challenges scientists. Valve repair and replacement are the options to heal heart valve diseases (VHDs), such as stenosis and regurgitation, which show high morbidity and mortality worldwide. Valve repair contributes to the performance of cardiac cycles. However, it fails to restore valve anatomy to its normal condition. On the other hand, replacement is the only alternative to treat valve degeneration. It may do so by mechanical or bioprosthetic valves. Although prostheses may restructure patients’ cardiac cycle, both prostheses may show limitations and potential disadvantages, such as mechanical valves causing thrombogenicity or bioprosthetic valves, calcification. Thus, prostheses require constant improvements to remedy these limitations. Although the design of mechanical valve structures has improved, their raw materials cause great disadvantages, and alternatives for this problem remain scarce. Cardiac valve tissue engineering emerged 30 years ago and has improved over time, e.g., xenografts and fabricated heart valves serving as scaffolds for cell seeding. Thus, this review describes cardiac valve substitutes, starting with the history of valvular prosthesis transplants and ending with some perspectives to alleviate the limitations of artificial valves.

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A research team headed by the University of Zurich has developed a powerful new method to precisely edit DNA by combining cutting-edge genetic engineering with artificial intelligence. This technique opens the door to more accurate modeling of human diseases and lays the groundwork for next-generation gene therapies.

Precise and targeted DNA editing by small point mutations as well as the integration of whole genes via CRISPR/Cas technology has great potential for applications in biotechnology and gene therapy. However, it is very important that the so-called gene scissors do not cause any unintended genetic changes, but maintain genomic integrity to avoid unintended side effects. Normally, double-stranded breaks in the DNA molecule are accurately repaired in humans and other organisms. But occasionally, this DNA end joining repair results in genetic errors.

Gene editing with greatly improved precision Now, scientists from the University of Zurich (UZH), Ghent University in Belgium and the ETH Zurich have developed a new method which greatly improves the precision of genome editing. Using artificial intelligence (AI), the tool called Pythia predicts how cells repair their DNA after it is cut by gene editing tools such as CRISPR/Cas9. “Our team developed tiny DNA repair templates, which act like molecular glue and guide the cell to make precise genetic changes,” says lead author Thomas Naert, who pioneered the technology at UZH and is currently a postdoc at Ghent University.


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Ablative and Immunostimulatory Effects of Histotripsy Ablation in a Murine Osteosarcoma Model

Background: Osteosarcoma (OS) is the most frequently occurring malignant bone tumor in humans, primarily affecting children and adolescents. Significant advancements in treatment options for OS have not occurred in the last several decades, and the prognosis remains grim with only a 70% rate of 5-year survival. The objective of this study was to investigate the focused ultrasound technique of histotripsy as a novel, noninvasive treatment option for OS. Methods: We utilized a heterotopic OS murine model to establish the feasibility of ablating OS tumors with histotripsy in a preclinical setting. We investigated the local immune response within the tumor microenvironment (TME) via immune cell phenotyping and gene expression analysis.

Allie, an AI chess bot, learns to play like humans from 91 million Lichess games

Yiming Zhang didn’t grow up playing chess. Like many other people, the Carnegie Mellon University Ph.D. student discovered the Netflix series “The Queen’s Gambit” during the pandemic and began playing online. However, he quickly realized how unnatural it felt playing against chess bots.

“After I learned the rules, I was in the bottom 10%, maybe 20% of players online,” said Zhang, who is part of the Language Technologies Institute (LTI) in CMU’s School of Computer Science. “For beginners, it’s not interesting or instructive to play against chess bots because the moves they make are often bizarre and incomprehensible to humans.”

Zhang’s frustration led him to develop Allie, a chess bot powered by that demonstrates the benefits of AI tools that think like humans. He believes training future AI systems to ponder and deliberate on could create better agents for use in therapy, education and medicine.

Attempting To Slow Aging By Optimizing Biomarkers

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Scientists Create New Magnetic State: The Magneto-Ionic Vortex (“Vortion”)

Researchers at the Universitat Autònoma de Barcelona (UAB) have successfully created a new form of magnetic state known as a magneto-ionic vortex, or “vortion.” Their findings, published in Nature Communications, demonstrate an unprecedented ability to control magnetic properties at the nanoscale under normal room temperature conditions. This achievement could pave the way for next-generation magnetic technologies.

As the growth of Big Data continues, the energy needs of information technologies have risen sharply. In most systems, data is stored using electric currents, but this process generates excess heat and wastes energy. A more efficient approach is to control magnetic memory through voltage rather than current. Magneto-ionic materials make this possible by enabling their magnetic properties to be adjusted when ions are inserted or removed through voltage polarity changes. Up to now, research in this field has mainly focused on continuous films, instead of addressing the nanoscale “bits” that are vital for dense data storage.

At very small scales, unique magnetic behaviors can appear that are not seen in larger systems. One example is the magnetic vortex, a tiny whirlpool-like magnetic pattern. These structures play an important role in modern magnetic data recording and also have biomedical applications. However, once a vortex state is established in a material, it is usually very difficult to modify or requires significant amounts of energy to do so.

Dementia-like protein buildup found in pancreas cells before cancer develops

Scientists have uncovered dementia-like behavior in pancreas cells at risk of turning into cancer. The findings provide clues that could help in the treatment and prevention of pancreatic cancer, a difficult-to-treat disease linked to 6,900 deaths in the UK every year.

The research was published in the journal Developmental Cell in a paper titled “ER-phagy and proteostasis defects prime pancreatic epithelial state changes in KRAS-mediated oncogenesis.”

Researchers from the Cancer Research UK Scotland Center studied pancreas cells in mice over time, to see what was causing healthy cells to turn into cancer cells. They discovered that at risk of becoming cancerous, known as pre-cancers, develop faults in the cell’s recycling process (known as “autophagy”).

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