Please provide the news content you wish me to rewrite.
Via: Source
Author: ainewsupdate
-
-
Please provide the news content you wish me to rewrite.
Via: Source
-
Machine Learning Expands CRISPR Gene-Editing Options For Safer and More Efficient Therapies
Researchers at Mass General Brigham have developed a machine learning algorithm, PAMmla, that predicts the properties of over 64 million CRISPR-Cas9 enzymes. This groundbreaking approach, published in Nature, dramatically expands the toolkit for gene editing, potentially reducing off-target effects and improving therapy safety and efficacy.
Current CRISPR-Cas9 technology faces limitations, including the risk of unintended DNA modifications (off-target effects). PAMmla addresses this by predicting which enzymes are most likely to precisely target the desired genes while minimizing off-target activity. Crucially, the scalability of PAMmla distinguishes it from previous efforts, generating far more potential enzymes for researchers to explore.
The algorithm works by predicting the protospacer adjacent motif (PAM), a short DNA sequence that CRISPR enzymes need to recognize and bind to. By identifying novel PAMs, researchers can engineer Cas9 enzymes with enhanced specificity. Initial proof-of-concept experiments in human cells and a mouse model of retinitis pigmentosa demonstrated that PAMmla-predicted enzymes had greater precision than traditional enzymes.
This research represents a significant step forward in gene and cell therapy. By enabling researchers to predict and customize CRISPR enzymes, PAMmla promises to accelerate the development of safer and more effective gene therapies for a wide range of genetic disorders.
-
AI will replace (some) accountants using AI: Don’t be one of them
My concern is that our understanding of AI’s impact on accounting is incomplete. We often say accountants using AI replace those who don’t, but the truth is far more disruptive. Certain accounting tasks, regardless of human involvement, are becoming automated. This is a trend mirroring wider corporate shifts, as evidenced by Shopify CEO Tobi Lütke’s memo and venture capitalist Victor Lazarte’s comments. Forward-thinking accounting firms are already adjusting entry-level hiring, recognizing AI’s capacity for foundational work.
This isn’t about eliminating jobs, but redefining the role of accountants. The most successful accountants of the future won’t compete with machines, but collaborate with them. Here’s how:
- Embrace Emerging Arenas: AI thrives on structured data. New and evolving domains, like crypto accounting and AI regulation, lack the historical data AI needs. This presents opportunities for human expertise in rule-setting, framework development, and shaping the profession.
- Become Advisory Experts: AI struggles with context, nuance, and judgment. Accounting’s value shifts to advisory services: interpreting AI outputs, understanding client implications, providing strategic guidance, and anticipating risks. Move beyond simply running reports; offer advice.
- Orchestrate AI Systems: The future accountant isn’t a ‘doer’, but a ‘conductor’. Learn to connect, interpret, and synthesize outputs from diverse AI systems into holistic client solutions. This requires understanding system limitations and leveraging their strengths.
The reality is that many current job descriptions may no longer accurately reflect the future. The current accounting environment is undergoing significant transformation and those roles are evolving. Accountants who adapt to these changes—focusing on judgment, strategy, and collaboration with AI—will be crucial in shaping the future of the profession. They’ll be the orchestrators, strategists, and creative thinkers that ensure accounting remains a crucial component in the evolving business landscape.