Rin Takahashi
Rin Takahashi
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GARGANTUAN PHILLY MAC & CHEESE DEEP DISH
Ingredients:
1 deep-dish crust
1 cup thin-sliced Philly steak or ribeye, cooked
½ cup sautéed onions & peppers
2 cups creamy mac & cheese
1 cup shredded provolone or mozzarella
Optional: garlic butter for brushing
Instructions:
1⃣ Spread mac & cheese into crust base.
2⃣ Layer on steak, onions, and peppers.
3⃣ Top with shredded cheese.
4⃣ Bake at 375°F (190°C) for 25–30 min until bubbling and golden.
5⃣ Brush crust with garlic butter if desired. Dig into this molten Philly mash-up!
Prep: 15 min | Cook: 30 min | Total: 45 min | Serves: 4GARGANTUAN PHILLY MAC & CHEESE DEEP DISH Ingredients: 1 deep-dish crust 1 cup thin-sliced Philly steak or ribeye, cooked ½ cup sautéed onions & peppers 2 cups creamy mac & cheese 1 cup shredded provolone or mozzarella Optional: garlic butter for brushing Instructions: 1⃣ Spread mac & cheese into crust base. 2⃣ Layer on steak, onions, and peppers. 3⃣ Top with shredded cheese. 4⃣ Bake at 375°F (190°C) for 25–30 min until bubbling and golden. 5⃣ Brush crust with garlic butter if desired. Dig into this molten Philly mash-up! Prep: 15 min | Cook: 30 min | Total: 45 min | Serves: 4
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Researchers at Singapore's A*STAR Genome Institute have developed a new AI-based method called Fragle that can detect even the tiniest traces of cancer in a patient's blood.
Unlike traditional liquid biopsy techniques that require expensive, targeted gene sequencing, Fragle uses a low-cost approach that analyzes the fragment sizes of cell-free DNA—a subtle clue that can indicate the presence of tumor DNA (ctDNA).
Cancer-derived DNA fragments tend to be shorter and follow distinct patterns, which Fragle can detect using shallow whole-genome sequencing and machine learning.
This technique stands out because it's fast, highly sensitive, and affordable, costing less than SGD $50 per test compared to traditional methods that often exceed SGD $1,000.
It also doesn’t depend on knowing the specific mutations of a patient’s cancer, making it more universally applicable across cancer types.
Fragle could revolutionize cancer care by enabling frequent, non-invasive monitoring of cancer progression, recurrence, or response to treatment.
However, it still requires extensive clinical validation before it can be widely adopted in real-world healthcare settings.Researchers at Singapore's A*STAR Genome Institute have developed a new AI-based method called Fragle that can detect even the tiniest traces of cancer in a patient's blood. Unlike traditional liquid biopsy techniques that require expensive, targeted gene sequencing, Fragle uses a low-cost approach that analyzes the fragment sizes of cell-free DNA—a subtle clue that can indicate the presence of tumor DNA (ctDNA). Cancer-derived DNA fragments tend to be shorter and follow distinct patterns, which Fragle can detect using shallow whole-genome sequencing and machine learning. This technique stands out because it's fast, highly sensitive, and affordable, costing less than SGD $50 per test compared to traditional methods that often exceed SGD $1,000. It also doesn’t depend on knowing the specific mutations of a patient’s cancer, making it more universally applicable across cancer types. Fragle could revolutionize cancer care by enabling frequent, non-invasive monitoring of cancer progression, recurrence, or response to treatment. However, it still requires extensive clinical validation before it can be widely adopted in real-world healthcare settings.
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