
'Invisible enemy' kills over 450 at Area 51 after exposure to top-secret project; victims say his brain is 'dying'
Area 51 is highly classified as a US Air Force facility situated near the Nevada desert that has long been linked to controversy and strange goings-on, with many aliens and UFO sightings also being reported close to the base over many years, reported Lad Bible.
Not only this, but even Google Maps believes that they have spotted otherworldly activities close to the base, with alien conspiracy theories.
I found this little tidbit of info quite interesting and revealing. During the recent Tucker Carlson interview with Rob O'Neil, he talked about his experience at Area 51 while preparing for the Bin Laden raid. For those that don't know, Rob was the Seal Team 6 operator that… pic.twitter.com/DsPmZRAJgK
Multiple staff members at Area 51 died of severe illness
According to the Lad Bible, some US Air Force veterans and security guards claim that they were handed a death sentence by the government due to the presence of a mysterious and invisible killer at the location.
David Crete, a former Air Force sergeant who worked at the Nevada Training and Testing Range (NTTR) between 1983 and 1987, said that the left side of his brain was 'dying' due to atrophy (the decrease in size or wasting away of a body part, cell, tissue, or organ) while speaking at the House of Veterans Affairs Committee in early 2025.
Around 490 people died of severe diseases like cancer at Area 51
Crete is voicing himself to seek help for denied healthcare in the US because none of the surviving veterans can prove they were exposed to radiation near Area 51, and their work was so 'top secret' that there were no records of anyone being there.
While Sergeant Crete made bold claims that nearly 490 of his former colleagues have died of severe diseases, including cancer, since the time they served at the former nuclear site, due to the radiation risks.
"My wife had three miscarriages. One of the guys that I worked with, his wife had seven," he quoted in the report. He added that all four of his children were born with birth defects or significant health problems, and it is not their fault.
Scarred lungs and cysts in the liver
Apart from this, Crete also suffers from scarred lungs and has cysts in his liver. "My wife had three miscarriages. One of the guys that I worked with, his wife had seven," he added.

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles


Time of India
4 days ago
- Time of India
Beware: Google Timeline can lead to mediclaim rejection
Surat: Even after submitting all necessary hospitalization documents, honestly disclosing pre-existing conditions, and meticulously adhering to every policy guideline, insurance companies can still unearth startling—and often unimaginable—reasons to deny your medical claim. A Silvassa resident recently fell victim to one such flimsy reason for rejection: his Google Maps Timeline did not reflect his presence at the hospital mentioned in his documents—a situation that has raised serious concerns about digital privacy. Fortunately, the Valsad Consumer Disputes Redressal Commission (CDRC) came to his rescue, ordering the insurance company to reimburse the Rs 48,251 mediclaim, along with compensation for mental harassment. In its recent order, the commission noted that the insurer had presented incorrect information regarding the patient's Google Timeline in an attempt to justify the rejection. You Can Also Check: Ahmedabad AQI | Weather in Ahmedabad | Bank Holidays in Ahmedabad | Public Holidays in Ahmedabad As per case details, complainant Vallabh Motka had purchased a mediclaim policy worth Rs 6.52 lakh from Go Digit General Insurance, valid until Feb 21, 2025. He was admitted to Arham Hospital in Silvassa as an indoor patient from Sept 11 to 14, 2024, for the treatment of viral pneumonia. by Taboola by Taboola Sponsored Links Sponsored Links Promoted Links Promoted Links You May Like Use an AI Writing Tool That Actually Understands Your Voice Grammarly Install Now Undo He submitted a claim of Rs 48,251, which the insurer rejected, citing various discrepancies—including those related to his Google Timeline location. Motka approached the consumer forum in March 2025, after multiple failed attempts to persuade the company to reconsider. In its repudiation letter, the company cited discrepancies in the bills, indoor case papers, and supporting documents. Its investigators somehow examined Motka's Google Timeline, and inferred that the hospital location was not recorded during the stated dates when he was admitted. Motka's advocate, A N Desai, submitted the treating doctor's certificate and argued that all treatment was conducted strictly under medical supervision. In its order, the commission wrote: "The investigation report submitted to the court confirmed that Motka was treated as an indoor patient from Sept 11 to 14, 2024 for viral pneumonia. This was further verified by a hospital visit and examination of records. It appears the discrepancy in the Google Timeline was wrongly cited. We are convinced that the insurance company failed to take the doctor's certificate into account, likely with the intent to reject the claim. " Speaking to TOI, advocate Desai said, "We've learned that investigators of some insurance companies mislead patients and gain access to their phones to stealthily review their Google Timeline data. This act is illegal, as they have no authority to check a person's private details. It's also possible the patient had their 'location' or 'data' settings turned off, or faced network issues. Unless Google officials personally verify the data in court, the Timeline holds no legal validity. "


Economic Times
5 days ago
- Economic Times
AI is being used to design custom proteins that help immune cells find and kill cancer
Live Events (You can now subscribe to our (You can now subscribe to our Economic Times WhatsApp channel Scientists have used artificial intelligence to design custom proteins that act like a 'GPS' for the immune system, guiding T cells directly to cancer cells and helping them destroy tumors with remarkable new research, published Thursday(July 24) in the journal Science, demonstrates how generative AI can create tiny proteins that dramatically enhance the cancer-killing power of human immune cells. In lab tests, T cells outfitted with these proteins swiftly located and killed melanoma cells, a fast-spreading and often deadly form of skin cancer.'It's like giving immune cells Google Maps for cancer,' said lead researcher Dr. Timothy Jenkins, a medical biotechnologist at the Technical University of Denmark. 'We're helping T cells find the tumor much more efficiently than they could on their own.'The work is an early-stage form of immunotherapy, a treatment approach that boosts the body's natural defenses to fight disease. The idea builds on successful techniques like CAR T-cell therapy but adds a major twist: Instead of relying on naturally occurring cell receptors, which can take months to isolate and test, the scientists used AI to design new proteins from scratch in just use of AI toolsTo create the molecular guides, the researchers used three AI tools. First, a generative model called RFdiffusion was used to analyze the structure of a specific cancer target known as NY-ESO-1, a protein found on many tumor cells. Then, another model proposed amino acid sequences that would fold into the right shape to bind the target. A third model helped narrow tens of thousands of options down to just 44, which were tested in the lab. One design stood out, and it study builds on a wave of recent breakthroughs in computational biology, including technologies that led to the 2024 Nobel Prize in Chemistry for protein structure prediction. Earlier this year, Jenkins' team also developed AI-designed proteins for improved snakebite trials are still years away, and many questions remain about how the proteins will perform in the human body. But the researchers are optimistic.


Time of India
5 days ago
- Time of India
AI is being used to design custom proteins that help immune cells find and kill cancer
Scientists have used artificial intelligence to design custom proteins that act like a 'GPS' for the immune system, guiding T cells directly to cancer cells and helping them destroy tumors with remarkable precision. The new research, published Thursday(July 24) in the journal Science, demonstrates how generative AI can create tiny proteins that dramatically enhance the cancer-killing power of human immune cells. In lab tests, T cells outfitted with these proteins swiftly located and killed melanoma cells, a fast-spreading and often deadly form of skin cancer. Explore courses from Top Institutes in Please select course: Select a Course Category MCA Data Analytics PGDM healthcare Cybersecurity Data Science others CXO Data Science Degree Others Operations Management Healthcare Product Management Artificial Intelligence Finance Public Policy MBA Design Thinking Technology Management Project Management Digital Marketing Leadership Skills you'll gain: Programming Proficiency Data Handling & Analysis Cybersecurity Awareness & Skills Artificial Intelligence & Machine Learning Duration: 24 Months Vellore Institute of Technology VIT Master of Computer Applications Starts on Aug 14, 2024 Get Details 'It's like giving immune cells Google Maps for cancer,' said lead researcher Dr. Timothy Jenkins, a medical biotechnologist at the Technical University of Denmark. 'We're helping T cells find the tumor much more efficiently than they could on their own.' by Taboola by Taboola Sponsored Links Sponsored Links Promoted Links Promoted Links You May Like 5 Books Warren Buffett Wants You to Read In 2025 Blinkist: Warren Buffett's Reading List Undo The work is an early-stage form of immunotherapy, a treatment approach that boosts the body's natural defenses to fight disease. The idea builds on successful techniques like CAR T-cell therapy but adds a major twist: Instead of relying on naturally occurring cell receptors, which can take months to isolate and test, the scientists used AI to design new proteins from scratch in just days. The use of AI tools Live Events To create the molecular guides, the researchers used three AI tools. First, a generative model called RFdiffusion was used to analyze the structure of a specific cancer target known as NY-ESO-1, a protein found on many tumor cells. Then, another model proposed amino acid sequences that would fold into the right shape to bind the target. A third model helped narrow tens of thousands of options down to just 44, which were tested in the lab. One design stood out, and it worked. The study builds on a wave of recent breakthroughs in computational biology, including technologies that led to the 2024 Nobel Prize in Chemistry for protein structure prediction. Earlier this year, Jenkins' team also developed AI-designed proteins for improved snakebite antivenoms. Clinical trials are still years away, and many questions remain about how the proteins will perform in the human body. But the researchers are optimistic.