Double murder in B'luru park: Mother of woman stabbed to death kills daughter's murderer
Bengaluru, Apr 18: In a case of double murder in Bengaluru, a 24-year-old woman was allegedly stabbed to death by her acquaintance who later died on the spot after he was hit with a stone by the woman's mother at Jayanagar area here on Thursday, police said.
The deceased were identified as Anusha and 44-year-old Suresh. They had known each other for five years, they said.
A preliminary investigation has revealed that the Anusha and Suresh had an altercation in the park because she had begun distancing herself from him, which he did not take well. She did not want to have any association with him, the police said.
They met at the park where he allegedly stabbed her twice, a senior police officer said.
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Before stepping out of her house, Anusha had informed her mother that she was going to meet someone in the park for five minutes and would be back soon. Suspecting that something was amiss, the mother followed her daughter to the park and ended up witnessing Anusha being stabbed in front of her, he said.
Deputy Commissioner of Police (South) Lokesh Bharamappa Jagalasar said that Anusha and Suresh were killed around 4.45 pm at Sarakki Park in Jayanagar.
"Based on the investigation so far, it appears that Suresh stabbed Anusha. Anusha’s mother rushed to save her and in that bid, she hit Suresh on his head with a stone and he died on the spot. We are currently interrogating an eyewitness in the case," he said.
Anusha was grievously injured, with one injury on her chest and another on her neck. She was declared brought dead at the hospital, he added.
"Both of them knew each other from their workplace. Anusha was a caretaker, while Suresh worked for an event management company. Anusha was trying to keep her distance from him, which may have led to this incident," the DCP said.
Two separate cases have been registered in connection with the incident and the mother of the deceased is being questioned, police said, adding that further investigation is underway.
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Jamia prof receives Rs 94 lakh grant to formulate AI-driven drug to treat breast cancer
New Delhi (PTI): An associate professor at Jamia Millia Islamia has been awarded a research grant of approximately Rs 94 lakh by the prestigious ICMR to support research in leveraging Artificial Intelligence for treatment of breast cancer.
The Indian Council of Medical Research (ICMR) has granted funding to Raza to develop cutting-edge tools for AI-guided drug design, focusing on optimising drug compounds, identifying therapeutic targets, and formulating novel treatment strategies for breast cancer, a statement by the varsity said on Friday.
One such promising drug compound 'DdpMPyPEPhU' already patented by Raza will be further explored under this initiative, the statement said.
This research will address critical challenges in breast cancer treatment and is expected to yield transformative outcomes that could impact healthcare practices globally, it added.
The three-year funding will facilitate advanced experimentation, foster collaboration with leading experts, and accelerate the development of innovative solutions for breast cancer treatment.
Jamia Vice-Chancellor Mazhar Asif and Registrar Md. Mahtab Alam Rizvi congratulated Raza on this accomplishment.
Asif stated, “This is a moment of immense pride for JMI. Raza’s recognition by ICMR underscores the university’s commitment to fostering research excellence and innovation. His groundbreaking work showcases JMI’s vital contributions to integrating AI in healthcare research.”
Expressing gratitude for the recognition, Raza said, “I am deeply honoured to receive this grant from ICMR. It represents a tremendous opportunity to advance our research on AI- driven drug design and contribute to better health outcomes for millions. I am thankful to my research team, collaborators and ICMR for their unwavering support.”
Raza is known for his research in the application of AI in healthcare, focusing on designing and optimising drug compounds through AI-based multitarget docking, molecular simulations, and genomics-driven personalised medicine.
