Killing cancers is fake news.

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Deadend medicine needs cancer therapy fake news.

Today's medical research cannot clarify atomic mechanism of diseases nor cure cancers.  → fake news is needed

(Fig.1)  Useless quantum mechanics prevents medicine from clarifying atomic mechanisms of diseases.

Today's medical research cannot cure cancers

Fake news tries to make today's deadend medical research appear to be curing cancers someday.

The 1st, 3rd, 9th, 3rd-last paragraphs of this hyped news (10/8/2025) say

"Mayo Clinic researchers have identified a protein that acts like a traffic controller for DNA, preventing damage during cell division—a discovery that could (= just speculation ) lead to new cancer therapies,"  ← fake news.

"When cells divide, DNA must be copied from one cell to the next—a process called replication. Dr. Lou's research team discovered that a protein called KCTD10 plays a surprising role in protecting DNA during this critical stage."

"When KCTD10 is missing, it leads to genomic instability and mutations that can result in tumor formation."

"which opens a new therapeutic window for us to treat certain types of cancer"  ← fake news, again.

Discrepancy between fake news and actual papers

Actual papers say nothing about "killing cancers", contrary to the overhyped fake news on today's deadend medicine.

This research paper ↓

p.1-abstract says nothing about killing cancers nor cancer therapy, contrary to the above hyped fake news.

p.9-Discussion also says nothing about treating cancers, contrary to the above hyped fake news.

p.11~p.13 Methods used only macroscopic biological tools without looking into atomic structures. and they did Not use (useless) quantum mechanics nor AI-Alphafold.

↑ The present medical research unable to clarify atomic mechanisms of diseases is deadend, can never cure cancers.

So they needed to spread overhyped fake news of "treating or killing cancers", which misleads people and prevents curing cancers.  ← vicious cycle.

 

AI clarifying atomic mechanisms is fake news.

AI, Alphafold are useless, trained on today's experiments with bad resolution, which cannot clarify atomic mechanisms or cure diseases.

(Fig.2)  Today's experiments (= X-ray crystallography ) cannot see atoms.

Today's science cannot clarify atomic structures.

"Computer methods understanding proteins at the atomic level" is overhyped fake news.

The 2nd, 8th, 3rd-last paragraphs of this hyped news (10/7/2025) say

"Now, Scripps Research scientists have developed a new computer-driven strategy to understand how these proteins work at the atomic level."  ← fake news

"wrote a software program to identify amino acid sequences containing this motif and used this information (= based on experimental information ) to design optimized synthetic membrane proteins with enhanced stability."

"Now that they have shown how this motif contributes to membrane protein structure, the researchers say that this information will (= still unrealized ) help scientists and doctors identify and understand genetic mutations that could contribute to disease."

Today's experiments cannot clarify atomic mechanisms

Today's experiments (= X-ray crystallography ) with bad resolution (> 3.2 Å ) cannot get atomic-level resolution (< 1Å ), which makes AI useless and prevents curing diseases.

This research paper ↓

p.2-2nd-paragraph says
"The database is comprised of a non-redundant set all X-ray and cryo-EM structures < 3.2 Å resolution"  ← Today's experiments are useless, cannot see individual atoms of resolution, contrary to the above hyped fake news.

p.13-X-ray crystallography-2nd-paragraph says
"The structure was solved.. with a 3.27 Å resolution"  ← Even X-ray-crystallography cannot see atoms of < 1Å resolution.

p.14-1st-paragraph says Quantum mechanical calculation relies on experimental crystal structure and GD3 empirical dispersion.  ← Quantum mechanics is useless, cannot predict proteins due to reliance on experimental empirical data.

p.20-last says "For the other designs, all AF3 (= Alphafold-3 ) predicted structures are parallel and incorrect"  ← AI-Alphafold prediction was false.

Today's experiments with bad resolution cannot see atoms. → All AI, Alphafold trained on them are also useless, cannot predict proteins.

↑ Today's experiments (= X-ray crystallography, cryo electron microscopes ) with bad resolution cannot see atoms, so AI-Alphafold cannot predict atomic-level precise mechanisms of proteins.

This is why today's medicine is deadend, cannot cure cancers nor Alzheimer despite longtime fruitless researches.

 

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