BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

Large language models (LLMs) have been shown to be able to perform new tasks based on a few demonstrations or natural language instructions. While these capabilities have led to widespread adoption, most LLMs are developed by resource-rich organizations and are frequently kept from the public. As a step towards democratizing this powerful technology, we present BLOOM, a 176B-parameter open-access language model designed and built thanks to a collaboration of hundreds of researchers. BLOOM is a decoder-only Transformer language model that was trained on the ROOTS corpus, a dataset comprising hundreds of sources in 46 natural and 13 programming languages (59 in total). We find that BLOOM achieves competitive performance on a wide variety of benchmarks, with stronger results after undergoing multitask prompted finetuning. To facilitate future research and applications using LLMs, we publicly release our models and code under the Responsible AI License

Partial response to venetoclax and ruxolitinib combination in a case of refractory T-prolymphocytic leukemia

ABSTRACTBackground: T-prolymphocytic leukemia (T-PLL) is an aggressive hematologic malignancy. A portion of patients can be cured with alemtuzumab induction followed by allogeneic hematopoietic stem cell transplant, but patients who relapse after transplant have a poor prognosis, and there is no standard of care.Methods: We report a case of a 64-year-old man with relapsed JAK3-mutant T-PLL following allogeneic transplant who was treated with ruxolitinib and venetoclax.Results: Treatment with ruxolitinib and venetoclax resulted in a partial response including stabilization of the peripheral lymphocyte count, improvement in thrombocytopenia, decrease in splenomegaly, and a numerical reduction in the percentage of bone marrow involved by T-PLL. The combination was well tolerated with the exception of neutropenic infections.Conclusion: This case adds to the growing body of literature supporting venetoclax and rituximab as a viable treatment option for relapsed/refractory T-PLL with JAK-STAT alterations

Outcomes of the Pregnancies with Chronic Myeloid Leukemia in the Tyrosine Kinase Inhibitor Era and Literature Review

Chronic myeloid leukemia (CML) is a clonal myeloproliferative neoplasm (MPN) that accounts for 10% of pregnancy-associated leukemias. The Philadelphia chromosome balanced translocation, t (9:22) (q34; q11.2), is the classic mutation seen in CML. The BCR-ABL oncoprotein encoded by this mutation is a constitutively active tyrosine kinase. Tyrosine kinase inhibitor (TKI) therapy is considered a first-line treatment for CML. However, the literature has revealed risks of teratogenicity with TKI therapy during pregnancy. Understanding the risks and benefits of TKI therapy and alternative therapies such as interferon-alpha (IFN-α) will help clinicians and pregnant patients develop a personalized CML treatment plan. This manuscript presents a case series detailing the management of five pregnancies in two pregnant patients with CML and a literature review of CML management in pregnancy

Successful Treatment of Autoimmune Hemolytic Anemia Concomitant with Proliferation of Epstein-Barr Virus in a Post-Heart Transplant Patient

Autoimmune hemolytic anemia (AIHA) is a rare complication following heart transplantation and has been attributed to several etiologies including infections, immunosuppressive medications, and post-transplant lymphoproliferative disorders. We report a 23-year-old male presenting 22 years after heart transplantation with severe AIHA. Laboratory findings were notable for positive IgG autoantibody against RBCs and high titer Epstein-Barr virus (EBV) viremia. Shortly after the first unit of irradiated RBC transfusion and high dose steroids, the patient developed acute dyspnea and hypoxia requiring intubation. Further workup demonstrated that the patient had Methicillin-sensitive Staphylococcus aureus (MSSA) pneumonia (PNA) and bacteremia, requiring antibiotics. Patient was subsequently treated with high-dose steroids, IVIG, as well as rituximab. Following treatment, the patient was successfully extubated and eventually showed complete resolution of the anemia. This case is novel as it represents AIHA likely secondary to EBV viremia in a post-cardiac transplant patient complicated by a severe transfusion reaction. In this circumstance, rituximab in conjunction with standard of care remains an effective treatment of choice

An innovative intervention for the prevention of vaso-occlusive episodes in sickle cell disease

ABSTRACTObjectives Sickle cell disease (SCD) is characterized by a mutation in the beta-globin gene resulting in abnormal hemoglobin S (HgbS). The significant sequela of SCD include anemia and recurrent vaso-occlusive episodes (VOEs) which may effectuate patients to receive chronic blood transfusions. Current pharmacotherapy options for SCD include hydroxyurea, voxelotor, Lglutamine, and crizanlizumab. Simple and exchange transfusions are often utilized as prophylaxis to prevent emergency department (ED)/urgent care (UC) visits or hospitalizations from VOEs by reducing the level of sickled red blood cells (RBCs). In addition, the treatment of VOEs involves intravenous (IV) hydration and pain management. Studies have demonstrated that sickle cell infusion centers (SCIC) decrease hospital admissions for VOEs, and IV hydration and pain medications are the key components of management employed. Thus, we hypothesized that implementing a structured infusion protocol in the outpatient setting would reduce the incidence of VOEs.Methods Here, we discuss two patients with SCD who were trialed on scheduled outpatient IV hydration and opioids with the goal of decreasing the frequency of VOEs in the setting of the current blood product shortage and the patients' refusal to receive exchange transfusions.Results Overall, the two patients had opposing outcomes- one demonstrated reduced frequency of VOEs, whereas the other had mixed results due to noncompliance to scheduled outpatient sessions.Discussion/Conclusion The use of outpatient SCICs may be an effective intervention for prevention of VOEs in patients with SCD, and further patient-centered research and quality improvement initiatives are needed to further quantify and understand the factors contributing to their efficacy

Targeting the Tumor Microenvironment in Acute Myeloid Leukemia: The Future of Immunotherapy and Natural Products

The tumor microenvironment (TME) plays an essential role in the development, proliferation, and survival of leukemic blasts in acute myeloid leukemia (AML). Within the bone marrow and peripheral blood, various phenotypically and functionally altered cells in the TME provide critical signals to suppress the anti-tumor immune response, allowing tumor cells to evade elimination. Thus, unraveling the complex interplay between AML and its microenvironment may have important clinical implications and are essential to directing the development of novel targeted therapies. This review summarizes recent advancements in our understanding of the AML TME and its ramifications on current immunotherapeutic strategies. We further review the role of natural products in modulating the TME to enhance response to immunotherapy

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

Large language models (LLMs) have been shown to be able to perform new tasks based on a few demonstrations or natural language instructions. While these capabilities have led to widespread adoption, most LLMs are developed by resource-rich organizations and are frequently kept from the public. As a step towards democratizing this powerful technology, we present BLOOM, a 176B-parameter open-access language model designed and built thanks to a collaboration of hundreds of researchers. BLOOM is a decoder-only Transformer language model that was trained on the ROOTS corpus, a dataset comprising hundreds of sources in 46 natural and 13 programming languages (59 in total). We find that BLOOM achieves competitive performance on a wide variety of benchmarks, with stronger results after undergoing multitask prompted finetuning. To facilitate future research and applications using LLMs, we publicly release our models and code under the Responsible AI License